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1
Idris, Husni, John-Paul Clarke, Rani Bhuva, and Laura Kang. "Queuing Model for Taxi-Out Time Estimation." Air Traffic Control Quarterly 10, no. 1 (January 2002): 1–22. http://dx.doi.org/10.2514/atcq.10.1.1.
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Mu, Chen, and Xiang Mo Zhao. "Simulation for the 24-Hour Features of Cruising Taxi Operation System." Applied Mechanics and Materials 195-196 (August 2012): 639–44. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.639.
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The complexity of taxi operation system grows out of the inherent dynamics and randomness of taxi services. A simulation model of cruising taxi operation system is presented, through which, the dynamic features of the taxis 24-hour available service can be recurred. A new method of determining the system optimal taxi fleet size is developed. These are helpful to taxi supervisor for providing better service.
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Balakrishna, Poornima, Rajesh Ganesan, and Lance Sherry. "Airport Taxi-Out Prediction Using Approximate Dynamic Programming." Transportation Research Record: Journal of the Transportation Research Board 2052, no. 1 (January 2008): 54–61. http://dx.doi.org/10.3141/2052-07.
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Mora, Minda. "Pengaruh Kepadatan Lalu Lintas Penerbangan Pada Saat Taxi-Out Terhadap Konsumsi Bahan Bakar Pesawat Udara (Studi Kasus: Bandar Udara Internasional Soekarno Hatta)." WARTA ARDHIA 40, no. 4 (December 31, 2014): 215–22. http://dx.doi.org/10.25104/wa.v40i4.217.215-222.
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Dalam satu fase penerbangan dari bandar udara asal menuju bandar udara tujuan, pesawat udara akan mengalami beberapa fase terbang, salah satunya adalah fase taxi-out. Fase ini memberikan kontribusi yang cukup signifikan terhadap konsumsi bahan bakar pesawat udara, terutama ketika terjadi kepadatan lalu lintas pesawat udara karena waktu yang dibutuhkan pesawat udara untuk taxi-out menjadi lebih lama dari yang seharusnya. Penelitian ini bertujuan untuk menganalisis pengaruh kepadatan lalu lintas pesawat udara terhadap waktu taxi-out dan konsumsi bahan bakar di Bandar Udara Soekarno Hatta-Jakarta. Hasil perhitungan menunjukkan rata-rata 30% dari total jumlah penerbangan pada bulan Juli, Agustus dan September tahun 2014 mengalami keterlambatan keberangkatan karena terjadinya kepadatan lalu lintas pesawat udara pada saat taxi-out. Hal ini mengakibatkan kelebihan konsumsi bahan bakar pesawat udara sebesar 29% dibandingkan apabila pesawat udara dapat melakukan taxi-out dalam keadaan tanpa hambatan.
[The Effect of Air Traffic Congestion on Taxi-out Time and Aircraft Fuel Consumption (Case Study: Soekarno-Hatta International Airport)] In a single flight, from the origin airport to the destination airport, the aircraft experiences several different flight phases, one of which is taxi-out phase. This taxi-out phase contributes significantly to aircraft fuel consumption particularly when air traffic congestion occurred due to the time needed in taxiing become much more longer than it should be. The aim of this research is to analyze the effect of air traffic congestion on taxi-out time and aircraft fuel consumption at Soekarno-Hatta International Airport. The results show that the average of 30% of the total number of flight in July, August, and September 2014 has been delayed due to air traffic congestion on taxi-out phase and it caused an increase of 29% on aircraft fuel consumption compared to uncongested taxi-out.
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Cheng, Luling, Xue Yang, Luliang Tang, Qian Duan, Zihan Kan, Xia Zhang, and Xinyue Ye. "Spatiotemporal Analysis of Taxi-Driver Shifts Using Big Trace Data." ISPRS International Journal of Geo-Information 9, no. 4 (April 24, 2020): 281. http://dx.doi.org/10.3390/ijgi9040281.
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In taxi management, taxi-driver shift behaviors play a key role in arranging the operation of taxis, which affect the balance between the demand and supply of taxis and the parking spaces. At the same time, these behaviors influence the daily travel of citizens. An analysis of the distribution of taxi-driver shifts, therefore, contributes to transportation management. Compared to the previous research using the real shift records, this study focuses on the spatiotemporal analysis of taxi-driver shifts using big trace data. A two-step strategy is proposed to automatically identify taxi-driver shifts from big trace data without the information of drivers’ identities. The first step is to pick out the frequent spatiotemporal sequential patterns from all parking events based on the spatiotemporal sequence analysis. The second step is to construct a Gaussian mixture model based on prior knowledge for further identifying taxi-driver shifts from all frequent spatiotemporal sequential patterns. The spatiotemporal distribution of taxi-driver shifts is analyzed based on two indicators, namely regional taxi coverage intensity and taxi density. Taking the city of Wuhan as an example, the experimental results show that the identification precision and recall rate of taxi-driver shift events based on the proposed method can achieve about 95% and 90%, respectively, by using big taxi trace data. The occurrence time of taxi-driver shifts in Wuhan mainly has two high peak periods: 1:00 a.m. to 4:00 a.m. and 4:00 p.m. to 5:00 p.m. Although taxi-driver shift behaviors are prohibited during the evening peak hour based on the regulation issued by Wuhan traffic administration, experimental results show that there are still some drivers in violation of this regulation. By analyzing the spatial distribution of taxi-driver shifts, we find that most taxi-driver shifts distribute in central urban areas such as Wuchang and Jianghan district.
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Herrema, Floris, Richard Curran, Hendrikus Visser, Denis Huet, and Régis Lacote. "Taxi-Out Time Prediction Model at Charles de Gaulle Airport." Journal of Aerospace Information Systems 15, no. 3 (March 2018): 120–30. http://dx.doi.org/10.2514/1.i010502.
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胡, 雨昕. "Aircraft Taxi-Out Time Prediction Based on Boosting Tree Model." Journal of Aerospace Science and Technology 07, no. 03 (2019): 72–79. http://dx.doi.org/10.12677/jast.2019.73009.
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Postorino, Maria Nadia, Luca Mantecchini, and Filippo Paganelli. "Improving taxi-out operations at city airports to reduce CO2 emissions." Transport Policy 80 (August 2019): 167–76. http://dx.doi.org/10.1016/j.tranpol.2018.09.002.
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Lian, Guan, Yaping Zhang, Jitamitra Desai, Zhiwei Xing, and Xiao Luo. "Predicting Taxi-Out Time at Congested Airports with Optimization-Based Support Vector Regression Methods." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/7509508.
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Accurate prediction of taxi-out time is significant precondition for improving the operationality of the departure process at an airport, as well as reducing the long taxi-out time, congestion, and excessive emission of greenhouse gases. Unfortunately, several of the traditional methods of predicting taxi-out time perform unsatisfactorily at congested airports. This paper describes and tests three of those conventional methods which include Generalized Linear Model, Softmax Regression Model, and Artificial Neural Network method and two improved Support Vector Regression (SVR) approaches based on swarm intelligence algorithm optimization, which include Particle Swarm Optimization (PSO) and Firefly Algorithm. In order to improve the global searching ability of Firefly Algorithm, adaptive step factor and Lévy flight are implemented simultaneously when updating the location function. Six factors are analysed, of which delay is identified as one significant factor in congested airports. Through a series of specific dynamic analyses, a case study of Beijing International Airport (PEK) is tested with historical data. The performance measures show that the proposed two SVR approaches, especially the Improved Firefly Algorithm (IFA) optimization-based SVR method, not only perform as the best modelling measures and accuracy rate compared with the representative forecast models, but also can achieve a better predictive performance when dealing with abnormal taxi-out time states.
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Gan, Yitong, Hongchao Fan, Wei Jiao, and Mengqi Sun. "Exploring the Influence of E-Hailing Applications on the Taxi Industry—From the Perspective of the Drivers." ISPRS International Journal of Geo-Information 10, no. 2 (February 16, 2021): 77. http://dx.doi.org/10.3390/ijgi10020077.
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In China, the traditional taxi industry is conforming to the trend of the times, with taxi drivers working with e-hailing applications. This reform is of great significance, not only for the taxi industry, but also for the transportation industry, cities, and society as a whole. Our goal was to analyze the changes in driving behavior since taxi drivers joined e-hailing platforms. Therefore, this paper mined taxi trajectory data from Shanghai and compared the data of May 2015 with those of May 2017 to represent the before-app stage and the full-use stage, respectively. By extracting two-trip events (i.e., vacant trip and occupied trip) and two-spot events (i.e., pick-up spot and drop-off spot), taxi driving behavior changes were analyzed temporally, spatially, and efficiently. The results reveal that e-hailing applications mine more long-distance rides and new pick-up locations for drivers. Moreover, driver initiative have increased at night since using e-hailing applications. Furthermore, mobile payment facilities save time that would otherwise be taken sorting out change. Although e-hailing apps can help citizens get taxis faster, from the driver’s perspective, the apps do not reduce their cruising time. In general, e-hailing software reduces the unoccupied ratio of taxis and improves the operating ratio. Ultimately, new driving behaviors can increase the driver’s revenue. This work is meaningful for the formulation of reasonable traffic laws and for urban traffic decision-making.
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Burns, Lucy Mae San Pablo. "“Splendid Dancing”: Filipino “Exceptionalism” in Taxi Dancehalls." Dance Research Journal 40, no. 2 (2008): 23–40. http://dx.doi.org/10.1017/s014976770000036x.
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In the 1920s and early 1930s, Filipino men patronized the popular American social institution of the taxi dancehalls, comprising nearly one quarter of the taxi dancehall patrons in major cities such as Detroit and Los Angeles (see Cressey 1932). Taxi dancehalls were at the height of their popularity during this period, often serving as a key site of sociality amongst and between immigrants. Women were employed as dancers for hire, and men, predominantly immigrants, were their principal patrons. Filipinos, workers and students alike, came dressed in McIntosh suits, eager to spend their hard-earned wages on taxi dancers. Here, Filipino men made rare social contact with women—taxi dancers who were largely white, occasionally Mexican, and very rarely Filipina (see Meckel 1995 for a detailed study of taxi dancers). Filipinos would purchase their dance tickets, choose their favorite girl within a group of taxi dancers, and move to the music of a live band. For ten cents per dance number, slow or fast, Filipino men could choose to dance with the same dancer until their tickets ran out or opt for the pleasures of another. Like a taxi ride, each dance came with a ticketed price and the expectation of a tip, either in the form of a drink, a sandwich, or perhaps even a marriage proposal.
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Zhao, Hong, Liang Mu, Yan Li, Junzheng Qiu, Chuanlong Sun, and Xiaotong Liu. "Unregulated Emissions from Natural Gas Taxi Based on IVE Model." Atmosphere 12, no. 4 (April 9, 2021): 478. http://dx.doi.org/10.3390/atmos12040478.
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Emissions from motor vehicles have gained the attention of government agencies. To alleviate air pollution and reduce the petroleum demand from vehicles in China, the policy of “oil to gas” was vigorously carried out. Qingdao began to promote the use of natural gas vehicles (NGVs) in 2003. By the end of 2016, there were 9460 natural gas (NG) taxis in Qingdao, which accounted for 80% of the total taxis. An understanding of policy implementation for emission reductions is required. Experiments to obtain the taxi driving conditions and local parameters were investigated and an international vehicle emissions (IVE) localization model was established. Combined with vehicle mass analysis system (VMAS) experiments, the IVE localization model was amended and included the taxi pollutant emission factors. The result indicates that annual total carbon monoxide (CO) emissions from actual taxis are 6411.87 t, carbureted hydrogen (HC) emissions are 124.85 t, nitrogen oxide (NOx) emissions are 1397.44 t and particulate matter (PM) emissions are 8.9 t. When the taxis are running on pure natural gas, the annual emissions of CO, HC, NOx and PM are 4942.3 t, 48.15 t, 1496.01 t and 5.13 t, respectively. Unregulated emissions of annual total formaldehydes, benzene, acetaldehyde, 1,3-butadience emissions from an actual taxi are 65.99 t, 4.68 t, 1.04 t and 8.83 t. When the taxi is running on pure natural gas, the above unregulated emissions are 12.11 t, 1.27 t, 1.5 t and 0.02 t, respectively.
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Mora, Minda, and Susanti Susanti. "Perhitungan Emisi Gas Pesawat Udara pada Fase Taxi-Out dengan Operasi Satu Mesin Mati di Bandar Udara Soekarno-Hatta." WARTA ARDHIA 46, no. 2 (February 25, 2021): 110–21. http://dx.doi.org/10.25104/wa.v46i2.389.110-121.
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Pesawat udara mengeluarkan emisi gas di setiap fase penerbangan, khususnya pada fase taxi-out. Makalah ini bertujuan untuk menghitung emisi gas pesawat udara pada saat taxi-out dengan menggunakan data operasional harian aktual pesawat udara di Bandar Udara Soekarno-Hatta dan melakukan evaluasi potensi pengurangan emisi apabila fase taxi-out dilakukan dengan strategi operasi satu mesin pesawat udara mati. Emisi gas pesawat udara dihitung dengan menggunakan metode hybrid berdasarkan formula yang direferensikan dalam International Civil Aviation Organization Airport Air Quality Manual. Perhitungan emisi gas pesawat udara dilakukan pada setiap penerbangan domestik, internasional dan kargo di Bandar Udara Internasional Soekarno-Hatta pada bulan Januari sampai dengan Juli tahun 2019. Hasil penelitian menunjukkan bahwa strategi dengan operasi satu mesin mati memberikan potensi pengurangan emisi gas pesawat udara sebesar 37% s.d 40%.
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Thadphoothon, Janpha. "Factors Affecting Thai Taxi Drivers’ English Competence." International Journal of Education and Literacy Studies 6, no. 2 (April 30, 2018): 79. http://dx.doi.org/10.7575/aiac.ijels.v.6n.2p.79.
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This study investigated the factors affecting Thai taxi drivers’ English competence. Altogether, 342 taxi drivers answered questionnaires and performed tasks that measured their English language competency; aiming to find out what the factors are that affect their English competency. The taxi drivers were all Thais sampled from three zones in the Bangkok metropolis. The instruments included the test and the questionnaires. The data collection was carried out during January to May 2016. The structural equation model, based on relevant theories and research findings, was constructed to explain the factors affecting their English language competence. The exogenous factors were their educational background and previous English language training, attitudes towards non-Thai passengers, motivation, and their independent language learning behavior. The results showed that the model was supported by the empirical evidence. The model was fitted with the Chi-square of 53.821, CFI of 0.996, NFI of 0.972, GFI of 0.977, and RMSEA of 0.022. The majority of Thai taxi drivers’ English language competence was at the low level (Mean = 2.50). It was also found that their educational background and English language training significantly affected their English competence directly and indirectly.
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Chakma, Mital, Md Sohel Rana, and Md Ashrafuzzaman Pramanik. "Prediction and analysis the causes of increasing an illegal e-taxi in Bangladesh municipalities." International Journal of Crowd Science 2, no. 3 (September 3, 2018): 178–97. http://dx.doi.org/10.1108/ijcs-06-2018-0010.
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Purpose This study aims to find out the causes for an increase in the number illegal E-taxis and the extent of these vehicles in the municipalities of Bangladesh. Design/methodology/approach Based on extensive literature review and field investigation, a set of questionnaires was developed to explore the actual causes for an increase in the number of illegal E-taxis, where ten predicted hypotheses were tested. Findings The result proved that the illegal E-taxi is very active in the study area. Besides the socio-economic condition of the commuter, education level of taxi drivers and commuter satisfaction level (safety and comfort) and provision of continuous and door-to-door service system are the main causes for increasing number of E-taxis in the municipality of Bangladesh. Originality/value Moreover, this study provides an effective thinking on socio-economic condition of drivers and the legalization of illegal E-taxis in the study area.
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Fernald, Anne E. "Taxi! The Modern Taxicab as Feminist Heterotopia." Modernist Cultures 9, no. 2 (October 2014): 213–32. http://dx.doi.org/10.3366/mod.2014.0084.
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The taxicab operated as a crucial transitional mode of transport for bourgeois women, allowing them maximum power as spectators when it was still brave for a woman to be a pedestrian. The writings of Virginia Woolf, which so often depict bourgeois women coping with modernity, form the chief context in which to explore the role of the taxicab in liberating the modern woman. The taxi itself, clumsy and ungendered, encases a woman's body and protects her from the male gaze. At the same time, a woman in a taxi can look out upon the street or freely ignore it. As such, the taxi is a type of heterotopia: a real place but one which functions outside of and in a critical relation to, the norms of the rest of the community.
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Mojtabaee, P., M. Molavi, and M. Taleai. "EXPLORING DRIVING FACTORS OF HIGHER PAID TAXI TRIPS USING ORIGIN–DESTINATION GPS DATA (CASE STUDY: GREEN TAXIS OF NEW YORK CITY)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 745–48. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-745-2019.
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Abstract. Investigating the influential factors of the areas where people use taxis is a crucial step in understanding the taxi demand dynamics. In this study, we intend to analyze higher-paying taxi trips by putting forward an approach to explore a dataset of green taxi trips in New York City in January 2015 together with some demographic, housing, social and economic data. The final goal is to find out whether the chosen factors are statistically significant to be considered as potential driving forces of demand location for trips with a higher-paid fare. Since airports are major attracting sources for taxi travels, all the steps are taken separately for three scenarios that the trip drop-offs are in 1) LaGuardia Airport, 2) John F Kennedy Airport or 3) other areas. First, the spatial pick-up distribution of these higher-paying trips is mapped to enable visual comparison of the urban movement patterns. Then, taking into account the pick-up density as the response variable, the densities of: foreign-born’s population, number of houses with no vehicles, the private wage and salary workers’ population, the government workers’ population and the self-employed workers’ population in own not incorporate business were considered as the explanatory variables. These variables were examined to find important factors affecting the demand in each neighborhood and different results in each of the three scenarios were discussed. This study gives a better insight into discovering driving factors of higher-paid taxi trips when considering airports as destinations which attract travels with potentially different characteristics.
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Durri, Ilda. "Asociación Profesional Élite Taxi v. Uber Systems Spain SL (C.J.E.U.)." International Legal Materials 58, no. 4 (August 2019): 837–48. http://dx.doi.org/10.1017/ilm.2019.32.
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In 2014, the Asociación Profesional Élite Taxi (Elite Taxi) brought an action before the Juzgado de lo Mercantil No 3 de Barcelona (Commercial Court No. 3, Barcelona, Spain) for the infringement of the national law on taxi services and the carrying out of misleading practices and acts of unfair competition by Uber Systems Spain SL (Uber). The two parties in the main proceedings are Elite Taxi, a taxi drivers' association in Barcelona, and Uber, a company related to Uber Technologies Inc. In the proceedings, Uber argued that its smartphone app constituted only a technical platform and should be regulated as an “information society service,” subject to EU law. However, the court ruled against Uber and found that it was providing a “service in the field of transport,” making the company subject to the potentially more stringent regulations of individual EU member states.
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TANG, TIE-QIAO, YAN LI, and HAI-JUN HUANG. "THE EFFECTS OF TAXI ON TRAFFIC FLOW." International Journal of Modern Physics C 20, no. 10 (October 2009): 1537–46. http://dx.doi.org/10.1142/s0129183109014588.
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Taxi will come to one complete halt during the boarding/alighting period and might produce stop-and-go without passengers, so it often produces traffic interruption on the single-lane system. Tang et al. pointed out that the traffic flow model [Chin. Phys.18, 975 (2009)] can be used to directly describe various micro phenomena resulted by traffic interruption on the single-lane system, if we properly define the traffic interruption probability, so in this paper we adopt this model to study the micro phenomena resulted by taxi on the single-lane system. The numerical results show that this model can describe the effects that taxi has on the trails of each vehicle's motion and the evolutions of the flow and the density on the single-lane system, but that these effects are relevant to the initial conditions of the whole system.
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Hao, Lu, Megan S. Ryerson, Lei Kang, and Mark Hansen. "Estimating fuel burn impacts of taxi-out delay with implications for gate-hold benefits." Transportation Research Part C: Emerging Technologies 80 (July 2017): 454–66. http://dx.doi.org/10.1016/j.trc.2016.05.015.
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Murça, Mayara Condé Rocha. "A robust optimization approach for airport departure metering under uncertain taxi-out time predictions." Aerospace Science and Technology 68 (September 2017): 269–77. http://dx.doi.org/10.1016/j.ast.2017.05.020.
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Yin, Kai, Chunyu Tian, Bruce X. Wang, and Luca Quadrifoglio. "Analysis of Taxiway Aircraft Traffic at George Bush Intercontinental Airport, Houston, Texas." Transportation Research Record: Journal of the Transportation Research Board 2266, no. 1 (January 2012): 85–94. http://dx.doi.org/10.3141/2266-10.
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Serving one of the largest metropolitan areas in the United States, the George Bush Intercontinental Airport (IAH) in Houston, Texas, is one of the 10 airports with the longest average taxi-out and taxi-in times. This paper assesses the congestion at IAH by analyzing taxi times and flight data during different hours of the day. The capacity of IAH is investigated by examining the number of departing flights on the ground. IAH is operating close to capacity most of the time. Because increasing airport capacity can mitigate congestion, this report develops a surface operation model based on analyzed results to achieve this aim. A mixed-integer programming formulation is proposed to optimize total taxi times by finding optimal taxi routes and the related schedules. The model is applied to a sample from real data.
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Wang, Hao, Der Horng Lee, and Ruey Cheu. "Microscopic Traffic Simulation Based Dispatch Modeling for Taxi Booking Service." Advanced Materials Research 187 (February 2011): 677–82. http://dx.doi.org/10.4028/www.scientific.net/amr.187.677.
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This paper presents a study of taxi booking service in Singapore using a microscopic traffic simulation model embedded with a link-to-link shortest path algorithm. A novel trip-chaining strategy for taxi booking based on a customized algorithm of Pickup and Delivery Problem with Time Window (PDPTW) was proposed. The idea is to chain several bookings with demand time points which are spread out within a reasonable period of time, and with each pick-up point coinciding with or being within close proximity to the previous drop-off location. Based on the simulation results, the proposed system has the potential to improve the taxi booking service currently operating in Singapore.
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Angrist, Joshua D., Sydnee Caldwell, and Jonathan V. Hall. "Uber versus Taxi: A Driver’s Eye View." American Economic Journal: Applied Economics 13, no. 3 (July 1, 2021): 272–308. http://dx.doi.org/10.1257/app.20190655.
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Rideshare drivers pay a proportion of their fares to a ride-hailing platform operator, a commission-based compensation model used by many service providers. To Uber drivers, this commission is known as the Uber fee. By contrast, traditional taxi drivers in most US cities make a fixed payment independent of their earnings, usually a weekly or daily medallion lease, keeping every fare dollar net of lease costs and other expenses. We assess these compensation models using an experiment that offered random samples of Boston Uber drivers opportunities to lease a virtual taxi medallion that eliminates the Uber fee. Some drivers were offered a negative fee. Drivers’ labor supply response to our offers reveals a large intertemporal substitution elasticity, on the order of 1.2, and higher for those who accept lease contracts. At the same time, our virtual lease program was undersubscribed: many drivers who would have benefited from buying an inexpensive lease chose to sit out. We use these results to compute the average compensation required to make drivers indifferent between rideshare and taxi-style compensation contracts. The results suggest that rideshare drivers gain considerably from the opportunity to drive without leasing. (JEL J22, J31, L84, L92)
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Hutapea, Sabungan Halomoan, and Rosita Sinaga. "Simulasi Penentuan Optimasi Arah Taksi Kosong Dengan Gps Dan Metode Monte Carlo." Warta Penelitian Perhubungan 22, no. 2 (February 28, 2010): 214–28. http://dx.doi.org/10.25104/warlit.v22i2.1045.
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The development of metropolitan cihJ as Jakarta for years is high, thus the demand Jo transportationservices. Tcui is one of mode transportation which is mostly used by middle to high class people. Theproblem is, sometimes many people are wasting time for waiting empty taxi, mean while manyempty taxi, are searching for the passenger.The objective of this simulation model is to direct the taxi, movement to get passenger with the help ofi~b "based software. So then, there is information to direct the taxi, mavement to choose the right Wat}to get passenger with high possibilihJ rate of passenger.The taxi, driver is equipped by GPS that will find out the coordinate position data of geographical. Toinput the data such as position of start-finish and arrival time of passenger it can be done by cellμlarphone then data will be transmit to ~bsite.Using simulation approaching, a Monte Carlo simulation model can be build that will optimize taxi,driver to find passenger. This modeling will be able to estimate the possibilihj of passenger arrival anddistribution of taxi, cars in one area. The comparison of simulation without modeling resuled intincreament of some aspects, such as increment of delivetJ services increase to 81.48%, searching timeand waiting time become 4.12% and 6.45% respectively.Keyword: taxi, movement, waiting time, travel time, Monte-Carlo Simulation
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Parvez, Mazed. "Solving traffic congestion consequences regarding e-taxi parking by identifying a suitable location for the e-taxi station: geo-spatial and AHP approaches." Smart and Resilient Transport 2, no. 2 (November 30, 2020): 55–68. http://dx.doi.org/10.1108/srt-07-2020-0005.
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Purpose The quantity of e-taxi in Bangladesh is increasing day by day, especially in the municipality area. With the increase of this e-taxi quantity, it becomes hard to provide parking space for these consequences the illegal parking on road. This parking consequences traffic congestion on the road and obstructs the free flow of traffic. So, this paper aims to investigate the present scenario of this e-taxi parking problem and provides a solution by finding out a suitable location for an e-taxi station by the analytic hierarchy process (AHP) approach. Design/methodology/approach For the study, both primary and secondary data were collected. Primary data on existing parking points on the road of e-taxi which consequences traffic congestion are collected from the Municipality area. Secondary data on the existing road network of the Pabna Municipality has collected from the MIDP data also from the literature review. For the suitability analysis process for establishing an e-taxi station, six variables were determined. These variables are determined from the previous studies and the expert opinion survey. The six variables are land use of the study area, road network of the study area, proximity to the office area, proximity to the educational facilities, proximity from the market and finally,proximity from the hospital. After the selection of the variables ranking value was determined from the expert opinion. Then using The AHP method final weight value is determined and, finally, with the assist of geographical information system. Findings From the resulting total 4,285 spots were found as optimally suitable spots are found which is almost 21% of the suitable spot. No mostly suitable spots are found from the GIS analysis. The moderately suitable spots were found in the prime number of 14,817 spots, almost 75% of the suitable spot. Likely the most suitable spots no partly suitable spots were found but the number of very few suitable spots was found in the number of 918, 4% of the suitable spot. A total of 20,020 spots was found as suitable for the construction of E-taxi station. Originality/value Finding out a suitable spot for e-taxi stand the traffic congestion can be solved, accident risk can be minimized during loading and unloading of passengers and the municipality authority can find a permanent solution for the traffic congestion problem.
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Campíñez-Romero, Severo, Antonio Colmenar-Santos, Clara Pérez-Molina, and Francisco Mur-Pérez. "A hydrogen refuelling stations infrastructure deployment for cities supported on fuel cell taxi roll-out." Energy 148 (April 2018): 1018–31. http://dx.doi.org/10.1016/j.energy.2018.02.009.
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Silva, Jhones Moreira da, Renan Alves Silva, and Fernanda Matos Fernandes Castelo Branco. "Pattern of alcohol consumption among motorcycle taxi drivers." Rev Rene 21 (June 18, 2020): e43603. http://dx.doi.org/10.15253/2175-6783.20202143603.
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Objective: to identify the factors associated with the pattern of alcohol consumption among motorcycle taxi drivers. Methods: cross-sectional study, carried out with 68 motorcycle taxi professionals. A socio-demographic questionnaire, work-related aspects, traffic accidents and the Alcohol Use Disorders Identification were used, for the pattern of alcohol use. The Chi-square and Fisher’s exact association tests were used for data analysis and logistic regression. Results: it was found that 48.5% consumed alcoholic beverages, 75.0% had low risk consumption, 16.2% risk, 7.4% harmful use and 1.5% possible dependence. The variables that obtained significance were naturalness, use of alcoholic beverages and quantity of drinks drunk in the day. Conclusion: there was a trend between naturalness and risky consumption. In addition, using alcoholic beverages monthly and the amount of doses greater than five doses, on the same day, increased 20 times and 10.0% more the chance of triggering problematic alcohol consumption.
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Yu, Jiayi Joey, Christopher S. Tang, Zuo-Jun Max Shen, and Xiqun Michael Chen. "A Balancing Act of Regulating On-Demand Ride Services." Management Science 66, no. 7 (July 2020): 2975–92. http://dx.doi.org/10.1287/mnsc.2019.3351.
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Regulating on-demand ride-hailing services (e.g., Uber and DiDi) requires a balance of multiple competing objectives: encouraging innovative business models (e.g., DiDi), sustaining traditional industries (e.g., taxi), creating new jobs, and reducing traffic congestion. This study is motivated by a regulatory policy implemented by the Chinese government in 2017 and a similar policy approved by the New York City Council in 2018 that regulate the “maximum” number of registered Uber/DiDi drivers. We examine the impact of these policies on the welfare of different stakeholders (i.e., consumers, taxi drivers, on-demand ride service company, and independent drivers). By analyzing a two-period dynamic game that involves these stakeholders, we find that, without government intervention, the on-demand ride service platform can drive the traditional taxi industry out of the market under certain conditions. Relative to no regulations and a complete ban policy, a carefully designed regulatory policy can strike a better balance of multiple competing objectives. Finally, if a government can reform the taxi industry by adjusting the taxi fare, then lowering the taxi fare instead of imposing a strict policy toward on-demand ride services can improve the total social welfare. This paper was accepted by Serguei Netessine, operations management.
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Yeh, Michelle, Joseph Jaworski, Suzanne Thomas, Andrew Kendra, and Danielle Hiltunen. "Examining the Compellingness of electronic Low Visibility Taxi Charts." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 62–66. http://dx.doi.org/10.1177/1541931218621014.
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The purpose of this study was to examine whether the presentation of own-aircraft (ownship) position was compelling when presented on electronic low visibility taxi charts. Although airport charts showing ownship position have been in use for some time, ownship position was not available on low visibility taxi charts because these charts were not geo-referenced. Twenty Airline Transport Pilots (ATP) (10 flightcrews) participated in a simulator study in which they performed six taxi scenarios in three different levels of visibility (1200 Runway Visual Range (RVR), 600 RVR, 300 RVR) using an electronic chart application on an iPad. Ownship position was shown on the chart for half the scenarios. In one scenario, we simulated a position error. We collected objective data (taxi speed, taxi time, fixation and dwell time), and pilot opinions on the usability of the electronic chart application. The results showed that no incursions/excursions were committed. All flightcrews noticed the error in ownship position, when it occurred; in fact, they also noticed other errors in ownship position that were not planned as part of the experiment design. Captains looked more often at the electronic chart when ownship position was presented than when it was not, regardless of visibility conditions. Additionally, Captains’ percentage of fixations were almost equal between the electronic chart and out-the-window. Such behavior may reflect the perceived utility of showing ownship on the electronic chart and may be an indication of the compelling nature of that information source.
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Kashyap, Rina, and Anjali Bhatia. "Taxi Drivers and Taxidars: A Case Study of Uber and Ola in Delhi." Journal of Developing Societies 34, no. 2 (March 14, 2018): 169–94. http://dx.doi.org/10.1177/0169796x18757144.
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This article examines the role of the sharing economy in India’s development through the examples of aggregated taxis such as Uber and Ola in Delhi. 1 Based on a general survey of Uber and Ola drivers and users in Delhi, we argue that Uber and Ola do not measure up to their expected potential in the development of India’s economy on the parameters of ecological sustainability, employment through renting out assets and reduction in the need to own assets. Yet, Uber and Ola are notable for the creation of viable employment opportunities for drivers, and their many benefits for urban middle class users. Unique to the Uber and Ola phenomenon in India is the interception of driver opportunities by taxidars (taxi-owners). This tweaked Uber model for the Indian market allows the middle class individual—the police official, bureaucrat, property dealer, transporter or a professional—an entry into the aggregated taxi market.
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LIAN, Guan, Yaping ZHANG, Zhiwei XING, Qian LUO, and Shaowu CHENG. "A new dynamic pushback control method for reducing fuel-burn costs: Using predicted taxi-out time." Chinese Journal of Aeronautics 32, no. 3 (March 2019): 660–73. http://dx.doi.org/10.1016/j.cja.2018.12.013.
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Suarsana, Anggraeni, A. A. Ngurah Subawa, and Lia Cahya Sari. "The Description of HIV Antibody Examination on Taxi Drivers in Kelurahan Kuta Kabupaten Badung." Bali Medika Jurnal 4, no. 1 (July 30, 2017): 16–22. http://dx.doi.org/10.36376/bmj.v4i1.54.
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Introduction: AIDS is a collection of certain clinical conditions that are the outcome of infection by HIV. Currently, the problem of HIV / AIDS is a big problem that threatens many countries around the world, one of them is Indonesia. HIV / AIDS is much affected by the productive age population and more affected by men than women. The taxi driver job has a lot of time on the highway. Taxi drivers will be vulnerable to HIV transmission when performing high-risk behaviors against its HIV transmission. This study aims to find out the description of HIV antibody examination on taxi drivers in Kelurahan Kuta Kabupaten Badung. Method: The type of research used is descriptive research. This research was conducted on May 2017. The sampling of the research was done at UPT. Puskesmas Kuta 1 and the examination was conducted at Health Analyst Laboratory of STIKes Wira Medika Bali. The population used in this study are all taxi drivers who are in Kelurahan Kuta Kabupaten Badung and the samples are 33 drivers. The method used in this research is Rapid Test / Immunochromatography method. The data have been analyzed and presented in tabular form. Result: The results of this study were all samples of taxi drivers showed non-reactive results against HIV antibodies. Discussion: This means no HIV antibodies found in taxi drivers serum.
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Martin, Layla, Michael Wittmann, and Xinyu Li. "The Influence of Public Transport Delays on Mobility on Demand Services." Electronics 10, no. 4 (February 4, 2021): 379. http://dx.doi.org/10.3390/electronics10040379.
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Demand for different modes of transportation clearly interacts. If public transit is delayed or out of service, customers might use mobility on demand (MoD), including taxi and carsharing for their trip, or discard the trip altogether, including a first and last mile that might otherwise be covered by MoD. For operators of taxi and carsharing services, as well as dispatching agencies, understanding increasing demand, and changing demand patterns due to outages and delays is important, as a more precise demand prediction allows for them to more profitably operate. For public authorities, it is paramount to understand this interaction when regulating transportation services. We investigate the interaction between public transit delays and demand for carsharing and taxi, as measured by the fraction of demand variance that can be explained by delays and the changing OD-patterns. A descriptive analysis of the public transit data set yields that delays and MoD demand both highly depend on the weekday and time of day, as well as the location within the city, and that delays in the city and in consecutive time intervals are correlated. Thus, demand variations must by corrected for these external influences. We find that demand for taxi and carsharing increases if the delay of public transit increases and this effect is stronger for taxi. Delays can explain at least 4.1% (carsharing) and 18.8% (taxi) of the demand variance, which is a good result when considering that other influencing factors, such as time of day or weather exert stronger influences. Further, planned public transit outages significantly change OD-patterns of taxi and carsharing.
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Justitia, Army, Rini Semiati, and Nadhila Ramadhini Ayuvinda. "Customer Satisfaction Analysis of Online Taxi Mobile Apps." Journal of Information Systems Engineering and Business Intelligence 5, no. 1 (April 25, 2019): 85. http://dx.doi.org/10.20473/jisebi.5.1.85-92.
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Background: High number of complaints that have been filed about the performance of online taxi services has prompted research on customer satisfaction factor analysis. Substantial research has addressed customer satisfaction factors in online taxi services, but none of them investigated the satisfaction in using the mobile apps.Objective: This study aims to find out the level of customer satisfaction and customer satisfaction factors in the online taxi mobile app services.Methods: This study is quantitative in nature, using questionnaires and purposive sampling method. The Customer Satisfaction Index (CSI) and Important-Performance Analysis (IPA) were used to determine the customer satisfaction factors, with the variables being route detection, connection, interaction, content, and service quality; as well as customer satisfaction, customer’s complaint, and customer loyalty. The data was processed using SPSS software.Results: The results showed that the level of customer satisfaction was 76.117% and fell into Cause of Concern category. This means that the system performance did not meet customer expectations. The results also showed that the best three factors in online taxi mobile apps are route detection, interaction, and content quality. Meanwhile, the factors that caused customer dissatisfaction were connection and service quality. The variables that led to satisfaction need to be maintained and the variables that did not were in Quadrant 1.Conclusion: The customer satisfaction was low so it is advisable that the companies immediately take an action to improve their performance and revise their strategic planning. In doing so, they must prioritize the attributes which have the biggest gap because these are the ones that will improve customer satisfaction.
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Natnael, Tarikuwa, Yeshiwork Alemnew, Gete Berihun, Masresha Abebe, Atsedemariam Andualem, Sewunet Ademe, Belachew Tegegne, and Metadel Adane. "Facemask wearing to prevent COVID-19 transmission and associated factors among taxi drivers in Dessie City and Kombolcha Town, Ethiopia." PLOS ONE 16, no. 3 (March 12, 2021): e0247954. http://dx.doi.org/10.1371/journal.pone.0247954.
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Background The World Health Organization (WHO) has pointed out that urban taxi drivers and their passengers are at higher risk of transmitting coronavirus disease 19 (COVID-19) due to frequent contact among many people. Facemask wearing is one of the preventive measures recommended to control the transmission of the virus. A lack of evidence of the proportion of facemask wearing among taxi drivers and associated factors in Ethiopia, including Dessie City and Kombolcha Town, hinders the design of targeted interventions to advocate for facemask use. This study was designed to address this gap. Methods A cross-sectional study was conducted among 417 taxi drivers in Dessie City and Kombolcha Town from July to August, 2020. The study participants were selected using a simple random sampling technique after proportionally allocating the sample size from the total number of taxi drivers working in Dessie City and Kombolcha Town. The data were collected by trained data collectors using a structured questionnaire and an on-the-spot observational checklist. The collected data were checked, coded and entered to EpiData version 4.6 and exported to Statistical Package for Social Sciences (SPSS) version 25.0 for data cleaning and analysis. Bivariate (Crude Odds Ratio [COR]) and multivariable (Adjusted Odds Ratio [AOR]) logistic regression analyses were employed using 95% CI (confidence interval). From bivariate logistic regression analysis, variables with p-value < 0.250 were retained into multivariable logistic regression analysis. Then, from the multivariable analysis, variables with p-value < 0.050 were declared as factors significantly associated with facemask wearing among taxi drivers in Dessie City and Kombolcha Town. Main findings The proportion of taxi drivers who wore a facemask was 54.68% [95%CI: 50.10–59.7%]. The majority (58.3%) of drivers were using cloth facemasks, followed by N95 facemasks (24.5%) and surgical facemasks (17.3%). Out of the total 417 taxi drivers, more than two-thirds (69.8%) of them had a good knowledge about COVID-19 and 67.6% of taxi drivers had a positive attitude towards taking precautions against transmission of COVID-19. Three-fourths (74.1%) of the taxi drivers believed that wearing a facemask could prevent COVID-19. More than half (52.5%) felt discomfort when wearing a facemask. Almost three-fourths (72.2%) of taxi drivers felt that the presence of local government pressure helped them to wear a facemask. We found that marital status [AOR = 3.14, 95%CI: 1.97–5.01], fear of the disease [AOR = 2.1, 95%CI: 1.28–3.47], belief in the effectiveness of a facemask [AOR = 5.6, 95%CI: 3.1–10.16] and feeling government pressure [AOR = 3.6, 95%CI: 2.16–6.13] were factors significantly associated with wearing a facemask. Conclusion We found that the proportion of facemask wearers among taxi drivers was relatively low in Dessie City and Kombolcha Town. In order to increase that number, government bodies should work aggressively to encourage more taxi drivers to wear a facemask. We also recommend that government and non-government organizations work very closely together to implement strategies that promote facemask use, including increasing the availability of inexpensive facemasks, and monitoring and controlling facemask use.
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Mubarok, Mubarok, and Urip Mulyadi. "Construction of the Meaning of a Motorcycle taxi Driver in Student Perception." Journal of Advanced Multidisciplinary Research 1, no. 1 (July 12, 2020): 1. http://dx.doi.org/10.30659/jamr.1.1.1-9.
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The development of technology gave birth to a new profession. Millennials plunge into online motorcycle taxi drivers. The presence of various online transportation applications such as Go-Jek, Grab, Uber opens wide opportunities to become partners. Millennials are not ashamed but feel proud. The motorcycle taxi profession which is often underestimated is now in demand by various groups. This study aims to explain the changes in the construction of the meaning of motorcycle taxi drivers in the perception of students who become online motorcycle taxi drivers. The change in meaning construction has made the online motorcycle taxi profession attractive to the younger generation. Changes in construction will be described in various stages of the scheme, the process of externalization, objectification and internalization of values. This research strategy is phenomenological research. The basic question according to Patton (2002) is to find out the essence of experience. Littlejohn (1999: 199) defines phenomenology as the study of experiences that come from consciousness or the way we understand something by consciously experiencing something. Hegel (in Moustakas 1994: 26) states that phenomenology refers to experience as arises from consciousness, he further explains phenomenology is the science of describing what a person receives, feels and knows in his direct awareness and experience. What arises from consciousness is what is called a phenomenon. With this strategy, the researcher seeks to obtain a systematic, logical and coherent reflection of the reality phenomenon about the motorcycle taxi profession
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Kasemy, Zeinab A., Ghada M. Kamel, Gaafar M. Abdel-Rasoul, and Ahmed A. Ismail. "Environmental and Health Effects of Benzene Exposure among Egyptian Taxi Drivers." Journal of Environmental and Public Health 2019 (February 3, 2019): 1–6. http://dx.doi.org/10.1155/2019/7078024.
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Objectives. To study environmental exposure to benzene as well as hematological effects of benzene exposure in taxi drivers. Background. Exposure to benzene has been associated with adverse health effects, including haematopoietic disorders. Methods. A retrospective cohort study was carried out from the beginning of April 2017, through the end of June 2018, on 280 taxi drivers (the exposed group) and 120 unexposed matched individuals (controls). The tools included a predesigned self-administered questionnaire which contained questions about personal data (e.g., age, educational level, and smoking) and exposure data (e.g., duration and nature of exposure). Investigations involved complete blood count. Environmental studies for light-chain aromatic hydrocarbons (BTEX components: benzene, toluene, ethylbenzene, and xylene) were done. Results. Mean values (ppm) of ambient concentrations of benzene, toluene, ethylbenzene, and xylene (0.81 ± 0.42, 26.69 ± 0.54, 29.36 ± 2.35, and 25.11 ± 2.06, respectively) in the stations were higher than international permissible levels (P<0.001). On studying the clinical manifestations during the last two weeks, the prevalence of pallor, dizziness, headache, waist and back pain, fatigue, dry throat, and discomfort was significantly higher in taxi drivers (27.1%, 24.3%, 21.4%, 28.6%, 45.7%, 24.3%, and 25.7%, respectively) than among the controls (6.7%, 4.2%, 6.7%, 10%, 10%, 6.7%, 6.7%, and 9.2%, respectively). For chronic diseases, hypertension was the most prevalent chronic disease among the drivers (17.1%) than the controls (5.8%) (P=0.002). Regarding self-assessment of health status, 20.0% of taxi drivers reported poor health while 31.4% reported very good health (P<0.001). MCH (pg), TLC (×103/μl), and platelets (×103/μl) were significantly lower among taxi drivers (26.33 ± 2.31, 6.55 ± 1.38, and 189.07 ± 53.25, respectively) (P=0.005, <0.001, and <0.001 respectively). Conclusion. Abnormal hematological findings among taxi drivers were found on exposure to benzene. Health of taxi drivers is generally affected. Setting a clinic for periodic checkup and health education for taxi drivers is highly recommended.
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Ponds, Roderik, Gerard Marlet, Clemens van Woerkens, and Harry Garretsen. "Taxi drivers with a PhD: trickle down or crowding-out for lower educated workers in Dutch cities?" Cambridge Journal of Regions, Economy and Society 9, no. 2 (May 21, 2016): 405–22. http://dx.doi.org/10.1093/cjres/rsw008.
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Zhang, Wei, Ruichun He, Qiang Xiao, and Changxi Ma. "Research on Strategy Control of Taxi Carpooling Detour Route under Uncertain Environment." Discrete Dynamics in Nature and Society 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/4702360.
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For the problem of route choice in taxi carpooling detour, considering the uncertainty of traffic and the characteristic of passengers’ noncomplete rationality, an evolutionary game model of taxi carpooling detour route is built, in which prospect theory is introduced and revenue of strategy is replaced by prospect value. The model reflects more really decision-making psychology of passengers. Then the stable strategies of the model are studied, and the influences of detour distance and traffic congestion on detour carpooling success are analyzed, respectively. The results show that when at least one route of which prospect values for two passenger sides are both positive exists, carpooling route can reach an agreement. The route is stable strategy of evolutionary game, and the passengers requiring short travel time tend to select the nondetour route. With the increase of detour distance and traffic congestion rate, the possibility of reaching an agreement decreases gradually; that is, possibility of carpooling failure increases. So taxi carpooling detour is possible under the certain condition, but some measures must be carried out such as constraints of detour distance and mitigation of traffic congestion to improve carpooling success probability. These conclusions have a certain guiding significance to the formulation of taxi carpooling policy.
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Kirabo Jackson, C., and Henry S. Schneider. "Do Social Connections Reduce Moral Hazard? Evidence from the New York City Taxi Industry." American Economic Journal: Applied Economics 3, no. 3 (July 1, 2011): 244–67. http://dx.doi.org/10.1257/app.3.3.244.
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This study investigates the role of social networks in aligning the incentives of agents in settings with incomplete contracts. Specifically, the study examines the New York City taxi industry where taxis are often leased and lessee-drivers have worse driving outcomes than owner-drivers due to moral hazard. Using within-driver variation and instrumental variable strategies to remove selection, we find that drivers leasing from members of their country-of-birth community exhibit significantly reduced effects of moral hazard, representing an improvement of almost one-half of a standard deviation of the outcome measures. Screening is ruled out as an explanation, and other mechanisms are investigated. (JEL D82, D86, L92, Z13)
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Zhao, P. X., K. Qin, Q. Zhou, C. K. Liu, and Y. X. Chen. "DETECTING HOTSPOTS FROM TAXI TRAJECTORY DATA USING SPATIAL CLUSTER ANALYSIS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 10, 2015): 131–35. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-131-2015.
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A method of trajectory clustering based on decision graph and data field is proposed in this paper. The method utilizes data field to describe spatial distribution of trajectory points, and uses decision graph to discover cluster centres. It can automatically determine cluster parameters and is suitable to trajectory clustering. The method is applied to trajectory clustering on taxi trajectory data, which are on the holiday (May 1<sup>st</sup>, 2014), weekday (Wednesday, May 7<sup>th</sup>, 2014) and weekend (Saturday, May 10<sup>th</sup>, 2014) respectively, in Wuhan City, China. The hotspots in four hours (8:00-9:00, 12:00-13:00, 18:00-19:00 and 23:00-24:00) for three days are discovered and visualized in heat maps. In the future, we will further research the spatiotemporal distribution and laws of these hotspots, and use more data to carry out the experiments.
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Krawczyk, Mariusz, Cezary Jerzy Szczepanski, and Albert Zajdel. "Aircraft model for the automatic taxi directional control design." Aircraft Engineering and Aerospace Technology 91, no. 2 (February 4, 2019): 289–95. http://dx.doi.org/10.1108/aeat-01-2018-0025.
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PurposeThis paper aims to present a concept of an automatic directional control system of remotely piloted aerial system (RPAS) during the taxiing phase. In particular, it shows the initial stages of the control laws synthesis-mathematical model and simulation of taxiing aircraft. Several reasons have emerged in recent years that make the automation of taxiing an important design challenge including decreased safety, performance and pilot workload.Design/methodology/approachThe adapted methodology follows the model-based design approach in which the control system and the aircraft are mathematically modelled to allow control laws synthesis. The computer simulations are carried out to analyse the model behaviour.FindingsChosen methodology and modelling technique, especially tire-ground contact model, resulted in a taxiing aircraft model that can be used for directional control law synthesis. Aerodynamic forces and moments were identified in the wind tunnel tests for the full range of the slip angle. Simulations allowed to compute the critical speeds for different taxiway conditions in a 90° turn.Practical implicationsThe results can be used for the taxi directional control law synthesis and simulation of the control system. The computed critical speeds can be treated as a safety limits.Originality/valueThe taxi directional control system has not been introduced to the RPAS yet. Therefore, the model of taxiing aircraft including aerodynamic characteristics for the full range of the slip angle has a big value in the process of design and implementation of the future auto taxi systems. Moreover, computed speed safety limits can be used by designers and standards creators.
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Krawczyk, Mariusz, Cezary Jerzy Szczepanski, and Albert Zajdel. "Aircraft model for automatic taxi directional control system design." Aircraft Engineering and Aerospace Technology 91, no. 3 (March 4, 2019): 477–83. http://dx.doi.org/10.1108/aeat-06-2018-0161.
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Purpose This paper aims to present a concept of an automatic directional control system of remotely piloted aerial system (RPAS) during the taxiing phase. In particular, it shows the initial stages of the control laws synthesis – mathematical model and simulation of taxiing aircraft. Several reasons have emerged in recent years that make the automation of taxiing an important design challenge including decreased safety, performance and pilot workload. Design/methodology/approach The adapted methodology follows the model-based design approach in which the control system and the aircraft are mathematically modelled to allow control laws synthesis. The computer simulations are carried out to analyse the model behaviour. Findings Chosen methodology and modelling technique, especially tire-ground contact model, resulted in a taxing aircraft model that can be used for directional control law synthesis. Aerodynamic forces and moments were identified in the wind tunnel tests for the full range of the slip angle. Simulations allowed to compute the critical speeds for different taxiway conditions in a 90° turn. Practical implications The results can be used for the taxi directional control law synthesis and simulation of the control system. The computed critical speeds can be treated as safety limits. Originality/value The taxi directional control system has not been introduced to the RPAS yet. Therefore, the model of taxiing aircraft including aerodynamic characteristics for the full range of the slip angle has a big value in the process of design and implementation of the future auto taxi systems. Moreover, computed speed safety limits can be used by designers and standard creators.
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Ma, Hong, Ni Shen, Jing Zhu, and Mingrong Deng. "A novel facility location problem for taxi hailing platforms." Industrial Management & Data Systems 120, no. 3 (January 13, 2020): 526–46. http://dx.doi.org/10.1108/imds-07-2019-0380.
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Purpose Motivated by a problem in the context of DiDi Travel, the biggest taxi hailing platform in China, the purpose of this paper is to propose a novel facility location problem, specifically, the single source capacitated facility location problem with regional demand and time constraints, to help improve overall transportation efficiency and cost. Design/methodology/approach This study develops a mathematical programming model, considering regional demand and time constraints. A novel two-stage neighborhood search heuristic algorithm is proposed and applied to solve instances based on data sets published by DiDi Travel. Findings The results of this study show that the model is adequate since new characteristics of demand can be deduced from large vehicle trajectory data sets. The proposed algorithm is effective and efficient on small and medium as well as large instances. The research also solves and presents a real instance in the urban area of Chengdu, China, with up to 30 facilities and demand deduced from 16m taxi trajectory data records covering around 16,000 drivers. Research limitations/implications This study examines an offline and single-period case of the problem. It does not consider multi-period or online cases with uncertainties, where decision makers need to dynamically remove out-of-service stations and add other stations to the selected group. Originality/value Prior studies have been quite limited. They have not yet considered demand in the form of vehicle trajectory data in facility location problems. This study takes into account new characteristics of demand, regional and time constrained, and proposes a new variant and its solution approach.
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Nuzzolo, Agostino, Antonio Comi, and Antonio Polimeni. "Exploring on-demand service use in large urban areas: the case of Rome." Archives of Transport 50, no. 2 (June 30, 2019): 77–90. http://dx.doi.org/10.5604/01.3001.0013.5681.
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Traditional and innovative on-demand transport services, such as taxi, car sharing or dial-a-ride respectively, can provide a level of flexibility to the public transport with the aim to guarantee a better service and to reduce the exploitation costs. In this context, in order to point out the key-factors of on-demand services, this study focuses on traditional on-demand service (such as taxi one), and presents the results of a demand analysis and modelling, obtained processing taxi floating car data (FCD) available for the city of Rome. The GPS position of each taxi is logged every few seconds and it was possible to build a monthly database of historical GPS traces through around 27 thousands of GPS positions recorded per day (more than 750 thousands for the entire month). Further, the patterns of within-day and day-to-day service demand are investigated, considering the origin, the destination and other characteristics of the trips (e.g. travel time). The time-based requests for taxi service were obtained and used to analyse the trip distribution in space and on time. These analyses allow us to forecast trips generated/attracted by each zone within the cities according to land use characteristics and time slices. Therefore, a regression tree analysis was developed and different regressive model specifications with different set of attributes (e.g. number of subway stations, number of zonal employees, population) were tested in order to assess their contribution on describing such a service use.
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Balakrishna, Poornima, Rajesh Ganesan, and Lance Sherry. "Accuracy of reinforcement learning algorithms for predicting aircraft taxi-out times: A case-study of Tampa Bay departures." Transportation Research Part C: Emerging Technologies 18, no. 6 (December 2010): 950–62. http://dx.doi.org/10.1016/j.trc.2010.03.003.
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Roy, Sneha, Anurag Komanduri, and Kimon Proussaloglou. "Evolution of Transportation Network Companies and Taxis through 2013–2018 in Chicago." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 7 (June 15, 2020): 385–97. http://dx.doi.org/10.1177/0361198120922851.
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The objective of this paper is to highlight important differences between taxis and transportation network companies (TNCs) in a large urban area. We analyze the publicly available dataset from Chicago which includes taxi and transportation network company (TNC) utilization and the level of service measures from five months in 2013–2014 and the same five months in 2018–2019. We compare and contrast the data from these two points in time to document utilization of taxis and TNCs and to measure differences in travel times, travel distances, fares, destinations served, and the spatial and temporal distribution of these trips. Travel to and from airports has been evaluated separately owing to the exceptionally high number of trips they generate. Striking differences between pooled and unpooled TNC trip volumes and other travel metrics have been assessed to highlight their operational diversity despite being considered as the same mode. The exploratory analysis has been carried out across the shared-ride, time, and mode dimensions. The study revealed both similarities and differences in taxi trip characteristics between the two evaluation periods and also outlined how the ridehailing market has grown over the years despite the near stagnation in population and employment in the city. We believe that assessing how taxis have fared through this time and highlighting the intrinsic differences between how the old and new mode of on-demand ride services coexist is important. This study aims to help understand how new-age mobility services are impacting transportation in one of the largest cities in the U.S.
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MACIEJEWSKA, Marta, Marta GALANT, and Paweł FUĆ. "Comparison of exhaust emission from the most commonly used aircrafts with implementation LTO cycle to operating conditions." Combustion Engines 179, no. 4 (October 1, 2019): 198–203. http://dx.doi.org/10.19206/ce-2019-433.
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The LTO cycle (Landing and Take–off cycle) is a research method used for jet engines certification. The measurements are performed in stationary conditions. With the development of aviation, the LTO test started to be carried out more often, but not for its’ original purpose. A new aim was an assessment impact of aircraft movement on environment in airports area. LTO cycle consists of four phases (according to ICAO Annex 16): take–off, climb out, approach and taxi/idle. Every airport has different infrastructure, what affects on time during basic flight operations especially for a taxi phase. To rate exhaust emission from aircrafts during basic fly operations duration time should be adjusted to every single airport. As a research area Poznań-Ławica Airport which is located in Poland, was adopted. Based on parameters calculated specially for this airport it is possible to computed there emission from the mostly used aircraft.
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Prastuti, Tika Nanda, and Tri Martiana. "ANALISIS KARAKTERISTIK INDIVIDU DENGAN KELUHAN KELELAHAN KERJA PADA PENGEMUDI TAKSI DI RUNGKUT SURABAYA." Indonesian Journal of Public Health 12, no. 1 (December 28, 2017): 64. http://dx.doi.org/10.20473/ijph.v12i1.2017.64-74.
Full textAbstract:
Each type of work will cause fatigue. Fatigue is decreasing a person’s condition so that no longerable to perform the work or activities. This study is to find out the relationship between individual characteristics such as age, work period, smoking habits, exercise habits, nutritional status with work fatigue complaints of taxi driver. The method used in this research was observational analytic with cross sectional approach. This study uses a questionnaire tools work fatigue Industrial Fatigue Research Committee (IFRC), weight scales and height or microtoise Stature Meter. The population in this study was a taxi driver in Rungkut Surabaya who work at night time from 14.00 pm–12.00 pm. The studysample of 50 drivers by used purposive sampling method. The results of this study used Chi-Square. Statistical test results indicate that the age of the driver has a low relationship strength, the driver’s working period has a very strong relationship strength, smoking habits driver has a very low relationship strength, exercise habits and nutritional status drivers has a strong relationship. The conclusion that can be drawn from the results of the study there was no association between age, work period, smoking, exercise habits, and nutritional status and work fatigue complaints of taxi drivers. Therefore, need forsocialization or briefing about the dangers of smoking to health, eating vitamin partially substitute for cigarettes and a healthy lifestyle.Keywords: work period, nutritional status, exercise habits, indivudual characteristics, work fatigue complaints, taxi drivers