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Journal articles on the topic 'Taxi Dispatch and Rebalancing'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Kiam Tian Seow, Nam Hai Dang, and Der-Horng Lee. "A Collaborative Multiagent Taxi-Dispatch System." IEEE Transactions on Automation Science and Engineering 7, no. 3 (2010): 607–16. http://dx.doi.org/10.1109/tase.2009.2028577.

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2

Yao, Zhong Min, Zhao Peng Long, and Qiang Li. "Taxi Intelligent Dispatch System Based on GPS." Advanced Materials Research 742 (August 2013): 463–68. http://dx.doi.org/10.4028/www.scientific.net/amr.742.463.

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GPS positioning system is installed in taxis and most mobile phones support GPS positioning function at present. GPS phones are used in the taxi to achieving intelligent scheduling based on this basis. The taxi intelligent dispatch system based on GPS is proposed, improve the traditional Dijkstra scheduling algorithms by setting taxi maximum reasonable scheduling range, experimental results show that improved algorithms reduce the time complexity and improve scheduling efficiency. Meanwhile the traffic jam information can be sent to the dispatch center and make scheduling algorithm more reason

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3

Wang, Hao, Ruey Cheu, and Der-Horng Lee. "Intelligent Taxi Dispatch System for Advance Reservations." Journal of Public Transportation 17, no. 3 (2014): 115–28. http://dx.doi.org/10.5038/2375-0901.17.3.8.

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4

Meng, QingBiao, Shingo Mabu, Lu Yu, and Kotaro Hirasawa. "A Novel Taxi Dispatch System Integrating a Multi-Customer Strategy and Genetic Network Programming." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 5 (2010): 442–52. http://dx.doi.org/10.20965/jaciii.2010.p0442.

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Taxi service usually benefits people by providing comfortable and flexible ride experiences. However, an inherent problem, the insufficient number of taxis at traffic peak, has baffled taxi service ever since it existed. This paper hereby proposes a Multi-Customer Taxi Dispatch System (MCTDS), where taxis are granted a right to take customers with different Origin-Destination (OD) pairs simultaneously, to shorten the total waiting time and traveling time. In addition, to mitigate the damage of detours, MCTDS is built based on Genetic Network Programming, a graph-based evolutionary algorithm th

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5

Moroz, D. G., N. O. Bludyan, S. S. Aleksyuk, and R. S. Ayriev. "Problem of Location of Taxi Ranks and Taxi Dispatch Service Operations in Moscow." World of Transport and Transportation 17, no. 3 (2019): 152–69. http://dx.doi.org/10.30932/1992-3252-2019-17-3-152-169.

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The article considers the technological aspects of organization of passenger and baggage transportation by taxi cabs in megacities, referring particularly to the practices of a number of countries.The authors analyze l e g a l regulation and technological development of taxi services in Moscow metropolitan area, including the current system for organizing the work of passenger taxi dispatch services taking into account centralization of information flows in a single city system.An analysis of methods for planning placement of taxi ranks shows that outdated approaches are used to solve that pro

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6

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

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7

Seow, Kiam Tian, and Der-Horng Lee. "Performance of Multiagent Taxi Dispatch on Extended-Runtime Taxi Availability: A Simulation Study." IEEE Transactions on Intelligent Transportation Systems 11, no. 1 (2010): 231–36. http://dx.doi.org/10.1109/tits.2009.2033128.

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8

Miao, Fei, Shuo Han, Shan Lin, et al. "Data-Driven Robust Taxi Dispatch Under Demand Uncertainties." IEEE Transactions on Control Systems Technology 27, no. 1 (2019): 175–91. http://dx.doi.org/10.1109/tcst.2017.2766042.

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9

Zhang, Wei, and Ying Fan. "Spatiotemporal Characteristics and Self-Organization of Urban Taxi Dispatch." Complexity 2020 (August 11, 2020): 1–11. http://dx.doi.org/10.1155/2020/3659315.

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This paper proposes a matching degree to study dynamic spatiotemporal characteristics of urban taxi and offers a novel understanding of self-organization taxi dispatch in hotspots on top of the Fermi learning model. The proposed matching degree can not only reflect the overall spatiotemporal characteristics of urban taxi supply and demand but also show that the density of distribution and the distance between the taxis supply and the city center will affect the satisfaction of demand. Besides, it is interesting to note that supply always exceeds demand and they will self-organize into an equil

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10

Bai, Zhu, and Jian Wang. "Equilibrium Model of Urban Taxi Service Network Based on the Integrated Service Modes." Advanced Engineering Forum 5 (July 2012): 82–87. http://dx.doi.org/10.4028/www.scientific.net/aef.5.82.

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This paper proposes an equilibrium model of urban taxi services on network to present the impact of the integrated service modes and the influence of the elastic customer demand distribution on taxi network equilibrium. Based on the cruising service mode, the model can describe how occupied taxis and vacant taxis cruise on network to provide services and search for customers by considering both the expected time cost and ride revenue and the elastic distribution characteristic of customer demand. At the same time, the dispatch service equilibrium problem by researching trip mode choice behavio

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11

Kim, Beomjun, Jeongho Kim, Subin Huh, Seungil You, and Insoon Yang. "Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization." IEEE Access 8 (2020): 21437–52. http://dx.doi.org/10.1109/access.2020.2969519.

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12

Jung, Jaeyoung, R. Jayakrishnan, and Ji Young Park. "Dynamic Shared-Taxi Dispatch Algorithm with Hybrid-Simulated Annealing." Computer-Aided Civil and Infrastructure Engineering 31, no. 4 (2015): 275–91. http://dx.doi.org/10.1111/mice.12157.

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13

Che, Xiao Lin, Jian Cheng Weng, Quan Yu, and Tian Yu Xu. "A GPS Data Based Monitor Model of Unoccupied Taxis at Transportation Hubs." Applied Mechanics and Materials 641-642 (September 2014): 767–72. http://dx.doi.org/10.4028/www.scientific.net/amm.641-642.767.

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Taxis account for a large percent of urban public passenger transport. This research proposes a monitor model of analyzing unoccupied taxis at a defined area. By scientific analysis of taxi GPS data precision and quality, 16,255 valid taxis in register list were filtered, and two coefficients were introduced to correct the taxi monitoring model. Based on the location reports of valid taxis, the number of unoccupied taxi which was able to dispatch to meet passengers’ demands can be predicted. Take the terminal 3 of Beijing Capital International Airport as a case study, the field investigation r

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14

Castagna, Alberto, Maxime Guériau, Giuseppe Vizzari, and Ivana Dusparic. "Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility." AI Communications 34, no. 1 (2021): 73–88. http://dx.doi.org/10.3233/aic-201575.

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Enabling Ride-sharing (RS) in Mobility-on-demand (MoD) systems allows reduction in vehicle fleet size while preserving the level of service. This, however, requires an efficient vehicle to request assignment, and a vehicle rebalancing strategy, which counteracts the uneven geographical spread of demand and relocates unoccupied vehicles to the areas of higher demand. Existing research into rebalancing generally divides the coverage area into predefined geographical zones. Division is done statically, at design-time, impeding adaptivity to evolving demand patterns. To enable more accurate dynami

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15

Hou, Zhi Ping, Feng Jin, Qin Jian Yuan, and Yong Yi Li. "A Methodology and Modelling Technique for Taxi Path Optimization." Advanced Materials Research 711 (June 2013): 816–21. http://dx.doi.org/10.4028/www.scientific.net/amr.711.816.

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Vehicle Routing Problem (VRP) is a typical combinatorial optimization problem. A new type of bionic algorithm-ant colony algorithm is very appropriate to solve Vehicle Routing Problem because of its positive feedback, robustness, parallel computing and collaboration features. In view of the taxi route optimization problem, this article raised the issue of the control of the taxi, by using the Geographic Information System (GIS), through the establishment of the SMS platform and reasonable taxi dispatch control center, combining ant colony algorithm to find the most nearest no-load taxi from th

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16

Artman, H., and S. Zällh. "Finding a way to usability: procurement of a taxi dispatch system." Cognition, Technology & Work 7, no. 3 (2005): 141–55. http://dx.doi.org/10.1007/s10111-005-0182-6.

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17

Xu, Jun, Rouhollah Rahmatizadeh, Ladislau Bölöni, and Damla Turgut. "A taxi dispatch system based on prediction of demand and destination." Journal of Parallel and Distributed Computing 157 (November 2021): 269–79. http://dx.doi.org/10.1016/j.jpdc.2021.07.002.

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18

Zhong, Min, and Yi Liu. "Research on the Evaluation Index System of the Taxi Operation and Service in Airport Hubs." MATEC Web of Conferences 325 (2020): 04005. http://dx.doi.org/10.1051/matecconf/202032504005.

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Passengers changing to taxis in airport hubs are facing problems such as complicated transfer lines, long transfer distance and time, stranded at taxi stands, and imperfect emergency safeguard measures. Combining with the trend of smart passenger services under the development of new generation of information technology, this paper constructs a set of taxi operation and service evaluation index system reflecting unique attributes of the airport hub collection and distribution system. The index system considers the rationality of taxi infrastructure configuration, the matching of passenger serv

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19

Han, Xiaoming, Yingshan Chong, and Qianwen Huangfu. "Shared Bicycle Scheduling Model Based on Price Incentive Mechanism." Mathematical Problems in Engineering 2018 (November 29, 2018): 1–7. http://dx.doi.org/10.1155/2018/3713254.

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In order to realize the rational delivery and effective dispatch of urban public self-vehicles, according to the randomness and time-varying of public bicycle demand, a demand forecast based on random forest and spatiotemporal clustering is proposed, and based on this, the user-based site rebalancing price incentive mechanism is implemented. Combining the demand of public bicycles with time factors, meteorological factors, associated sites, and other variables, using logarithmic optimization to reduce the impact of outliers, establish a random forest regression model. Secondly, based on this,

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20

Lee, Der-Horng, Hao Wang, Ruey Long Cheu, and Siew Hoon Teo. "Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions." Transportation Research Record: Journal of the Transportation Research Board 1882, no. 1 (2004): 193–200. http://dx.doi.org/10.3141/1882-23.

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21

Liu, Kai, Toshiyuki Yamamoto, and Taka Morikawa. "Feasibility of Using Taxi Dispatch System as Probes for Collecting Traffic Information." Journal of Intelligent Transportation Systems 13, no. 1 (2009): 16–27. http://dx.doi.org/10.1080/15472450802644447.

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22

Mao, Chao, Yulin Liu, and Zuo-Jun (Max) Shen. "Dispatch of autonomous vehicles for taxi services: A deep reinforcement learning approach." Transportation Research Part C: Emerging Technologies 115 (June 2020): 102626. http://dx.doi.org/10.1016/j.trc.2020.102626.

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23

Mirković, Bojana, and Emir Ganić. "Measures to reduce pollutant emissions from taxiing aircraft at Belgrade airport." Tehnika 75, no. 6 (2020): 759–66. http://dx.doi.org/10.5937/tehnika2006759m.

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This paper presents the analysis o f measures to reduce pollutant emissions o f taxiing aircraft at Belgrade Airport, motivated by one o f the Flighpath 2050 goals that aircraft movements should be emission-free when taxiing. Fuel burn and pollutant emissions are quantified for basic scenario for year 2019, and compared to three alternative scenarios: single engine taxiing, dispatch towing and electric taxiing. For a mid-size airport like Belgrade Airport the priority should be given to single engine taxi procedure because it is not associated with additional implementation costs, unlike the o

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24

Wittmann, Michael, Lorenz Neuner, and Markus Lienkamp. "A Predictive Fleet Management Strategy for On-Demand Mobility Services: A Case Study in Munich." Electronics 9, no. 6 (2020): 1021. http://dx.doi.org/10.3390/electronics9061021.

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The global market for MoD services is in a state of rapid and challenging transformation, with new market entrants in Europe, such as Uber, MOIA, and CleverShuttle, competing with traditional taxi providers. Rapid developments in available algorithms, data sources, and real-time information systems offer new possibilities of maximizing the efficiency of MoD services. In particular, the use of demand predictions is expected to contribute to a reduction in operational costs and an increase in overall service quality. This paper examines the potential of predictive fleet management strategies app

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25

Wang, Jian, Zhu Bai, and Xiaowei Hu. "The Effect of the Integrated Service Mode and Travel Time Uncertainty on Taxis Network Equilibrium." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/641418.

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This paper aims to discuss the trip mode choice problem by using cumulative prospect theory (CPT) rather than utility maximization from the network uncertainty perspective and evaluates the effect of the integrated service mode on taxi network equilibrium. The integrated service mode means taxis either are actively moving through traffic zones to pick up customers (cruising mode) or are queued at the center of a zone waiting for customers (dispatch mode). Based on this, CPT models are adopted to analyze the choice of customers’ trip mode. The travel time uncertainty of the network and the appl

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26

Bridgelall, Raj, Pan Lu, Denver D. Tolliver, and Tai Xu. "Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations." Journal of Advanced Transportation 2018 (September 16, 2018): 1–8. http://dx.doi.org/10.1155/2018/8963234.

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On-demand shared mobility services such as Uber and microtransit are steadily penetrating the worldwide market for traditional dispatched taxi services. Hence, taxi companies are seeking ways to compete. This study mined large-scale mobility data from connected taxis to discover beneficial patterns that may inform strategies to improve dispatch taxi business. It is not practical to manually clean and filter large-scale mobility data that contains GPS information. Therefore, this research contributes and demonstrates an automated method of data cleaning and filtering that is suitable for such t

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27

Fréchette, Guillaume R., Alessandro Lizzeri, and Tobias Salz. "Frictions in a Competitive, Regulated Market: Evidence from Taxis." American Economic Review 109, no. 8 (2019): 2954–92. http://dx.doi.org/10.1257/aer.20161720.

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This paper presents a dynamic equilibrium model of a taxi market. The model is estimated using data from New York City yellow cabs. Two salient features by which most taxi markets deviate from the efficient market ideal are, first, matching frictions created by the need for both market sides to physically search for trading partners, and second, regulatory limitations to entry. To assess the importance of these features, we use the model to simulate the effect of changes in entry, alternative matching technologies, and different market density. We use the geographical features of the matching

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28

Miao, Fei, Shuo Han, Shan Lin, et al. "Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach." IEEE Transactions on Automation Science and Engineering 13, no. 2 (2016): 463–78. http://dx.doi.org/10.1109/tase.2016.2529580.

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29

Liao, Ziqi. "Managing taxi service operations based on the automatic vehicle location and dispatch system and wireless communication technology." International Journal of Services and Operations Management 9, no. 1 (2011): 52. http://dx.doi.org/10.1504/ijsom.2011.040321.

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30

Ibhaze, Augustus E., Ignatius K. Okakwu, Ayobami T. Akinrelere, and Agbotiname L. Imoize. "An Intelligent Dispatch System Operating in a Partially Closed Environment." Network and Communication Technologies 4, no. 1 (2019): 26. http://dx.doi.org/10.5539/nct.v4n1p26.

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Taxicabs are very important in our daily lives and are reputed to be one of the mostly used forms of transportation. The cab dispatch system was first created to help passengers get through to taxi drivers and make it easier to book reservations. The evolution of cab dispatch system has moved from the ordinary callboxes to computer-aided dispatch system. These solutions were created to help organizations that own fleet of taxis manage and control their operations. Campuses and other partially closed environments also require these solutions but due to their high cost of implementation, they fi

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31

Li, Aoyong, and Kay W. Axhausen. "Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks." AGILE: GIScience Series 1 (July 15, 2020): 1–14. http://dx.doi.org/10.5194/agile-giss-1-12-2020.

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Abstract. Short-term traffic demand prediction is one of the crucial issues in intelligent transport systems, which has attracted attention from the taxi industry and Mobility-on-Demand systems. Accurate predictions enable operators to dispatch their vehicles in advance, satisfying both drivers and passengers. This study aims to predict traffic demand over the entire city based on the Graph convolutional network (GCNN). Specially, we divide the study area into several non-overlap sub-regions. Each sub-region is treated as a node, and a traffic demand graph is constructed. Then, we build three

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32

Fan, Lijun, Zhongyuan Jiang, and Qiang Wang. "Robustness evaluation for real traffic network from complex network perspective." International Journal of Modern Physics C 32, no. 08 (2021): 2150102. http://dx.doi.org/10.1142/s0129183121501023.

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Robustness is a critical characteristic of ubiquitous real networked systems which are often very vulnerable to the random failures or targeted attacks. In this work, we aim to evaluate the robustness of a traffic network which is constructed from real trajectory data. First, we divide a city into grids which are considered as nodes and a link is established if there is at least one taxi dispatch order from one grid to another. Second, we propose two categories of attack strategies: node attacks (e.g. random node failure, and degree, in-degree, out-degree, closeness, clustering coefficient, Pa

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33

Riviere, Benjamin, and Soon-Jo Chung. "H-TD²: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch." IEEE Transactions on Intelligent Transportation Systems, 2021, 1–10. http://dx.doi.org/10.1109/tits.2021.3097297.

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34

Raymond, Amber, and Kenneth Cramer. "Taxi Tipping in New York City (2014-2017): Reciprocity in Hailed vs. Dispatched Cab Fares." Journal of Interpersonal Relations, Intergroup Relations and Identity 13 (April 2020). http://dx.doi.org/10.33921/jqxw2220.

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The present study evaluated the extent to which reciprocity (equity) theory could explain differential levels of tipping in New York taxi fares. From 2014 to 2017, the database recorded 73 million cab fares; however, only credit transactions (i.e., recording patrons’ tips) were included (28 million fares). Based on a reciprocity hypothesis, patrons in cabs hailed randomly off the street were expected to tip more compared to patrons who arranged travel at a dispatch centre. An analysis of covariance for each of the four years supported this, wherein patrons in hailed cabs tipped twice the perce

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35

Li, Xiaoming, and Liang Zhao. "Towards smart transportation: A learning‐based data‐driven optimization approach for electric taxi dispatch problem." Internet Technology Letters, May 10, 2020. http://dx.doi.org/10.1002/itl2.164.

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36

Shen, Shiyu, Yanfeng Ouyang, Shuai Ren, and Luyun Zhao. "Path-Based Dynamic Vehicle Dispatch Strategy for Demand Responsive Transit Systems." Transportation Research Record: Journal of the Transportation Research Board, May 26, 2021, 036119812110142. http://dx.doi.org/10.1177/03611981211014205.

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Demand responsive transit (DRT) has the potential to provide passengers with higher accessibility and lower travel time as compared with conventional transit, and at the same time make more efficient use of vehicle capacity than traditional taxi. In many current systems, vehicles are assigned to passengers along travel paths that are chosen myopically. When information on future demand distribution is available, it would be more beneficial to dispatch transit vehicles strategically to areas with a higher probability of generating passengers. This paper proposes a mathematical model for a dynam

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37

Wollenstein-Betech, Salomón, Ioannis Ch Paschalidis, and Christos G. Cassandras. "Optimal Operations Management of Mobility-on-Demand Systems." Frontiers in Sustainable Cities 3 (July 8, 2021). http://dx.doi.org/10.3389/frsc.2021.681096.

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The emergence of the sharing economy in urban transportation networks has enabled new fast, convenient and accessible mobility services referred to as Mobilty-on-Demand systems (e.g., Uber, Lyft, DiDi). These platforms have flourished in the last decade around the globe and face many operational challenges in order to be competitive and provide good quality of service. A crucial step in the effective operation of these systems is to reduce customers' waiting time while properly selecting the optimal fleet size and pricing policy. In this paper, we jointly tackle three operational decisions: (i

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38

West, Patrick. "The Convergence Potentials of Collaboration & Adaptation: A Case Study in Progress." M/C Journal 9, no. 2 (2006). http://dx.doi.org/10.5204/mcj.2621.

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Introduction Collaboration converges with adaptation insofar as collaborative practice involves an adaptation of the differences amongst collaborators with the aim of achieving a seamless blending of personalities and practices. By contrast, this article addresses the topic of the convergence potentials between collaboration and adaptation in those cases where the unmitigated differences across personnel and practices maximize the cultural significance of a project. The case study under review here appears linked to an unusually deep level of engagement with the concerns of its audience, which

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