Academic literature on the topic 'Passenger-car equivalentes'
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Journal articles on the topic "Passenger-car equivalentes"
Subotić, Marko, Željko Stević, Edis Softić, and Veljko Radičević. "Passenger Car Equivalents on Downgrades of Two-Lane Roads." Baltic Journal of Road and Bridge Engineering 15, no. 4 (September 28, 2020): 152–73. http://dx.doi.org/10.7250/bjrbe.2020-15.499.
Full textLi, Hongwei, Yunyue Zhou, Sulan Li, and Hongwei Zhu. "Passenger car equivalents for urban roads using average time headway of car following conditions." Advances in Mechanical Engineering 11, no. 12 (December 2019): 168781401989751. http://dx.doi.org/10.1177/1687814019897511.
Full textTorbic, Darren, Lily Elefteriadou, Tien-Jung Ho, and Ying Wang. "Passenger Car Equivalents for Highway Cost Allocation." Transportation Research Record: Journal of the Transportation Research Board 1576, no. 1 (January 1997): 37–45. http://dx.doi.org/10.3141/1576-05.
Full textGiuffrè, Orazio, Anna Granà, Raffaele Mauro, Ana Bastos Silva, and Sandro Chiappone. "Developing Passenger Car Equivalents for Freeways by Microsimulation." Transportation Research Procedia 10 (2015): 93–102. http://dx.doi.org/10.1016/j.trpro.2015.09.059.
Full textFan, Henry S. L. "Passenger car equivalents for vehicles on Singapore expressways." Transportation Research Part A: General 24, no. 5 (September 1990): 391–96. http://dx.doi.org/10.1016/0191-2607(90)90051-7.
Full textAmbo, Alemayehu, F. R. Wilson, and A. M. Sevens. "Highway cost allocation methodologies." Canadian Journal of Civil Engineering 19, no. 4 (August 1, 1992): 680–87. http://dx.doi.org/10.1139/l92-077.
Full textLi, Shuguang, and Ke Wang. "Estimated passenger car equivalent using backward wave speed." Proceedings of the Institution of Civil Engineers - Transport 169, no. 1 (February 2016): 34–41. http://dx.doi.org/10.1680/jtran.14.00018.
Full textGeistefeldt, Justin. "Estimation of Passenger Car Equivalents Based on Capacity Variability." Transportation Research Record: Journal of the Transportation Research Board 2130, no. 1 (January 2009): 1–6. http://dx.doi.org/10.3141/2130-01.
Full textYeung, Jian Sheng, Yiik Diew Wong, and Julius Raditya Secadiningrat. "Lane-harmonised passenger car equivalents for heterogeneous expressway traffic." Transportation Research Part A: Policy and Practice 78 (August 2015): 361–70. http://dx.doi.org/10.1016/j.tra.2015.06.001.
Full textDrakopoulos, Alex, and Amjad Dehman. "Field-Derived Freeway Passenger Car Equivalents for Congested Conditions." Transportation Research Record: Journal of the Transportation Research Board 2483, no. 1 (January 2015): 111–19. http://dx.doi.org/10.3141/2483-13.
Full textDissertations / Theses on the topic "Passenger-car equivalentes"
Carvalho, Luan Guilherme Staichak. "Calibração do modelo de desempenho de caminhões do Vissim." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-18022019-112511/.
Full textTraffic simulators are important tools for traffic planning and operation, as they can be used to perform safe, low-cost scenario evaluation. However, these software\'s default configuration is adjusted to replicate the traffic conditions found in the simulators\' country of origin. The truck performance model heavily impacts traffic behavior in simulations of freeway segments. The default values for Vissim\'s performance model are adjusted for trucks with lower mass/power ratios than typical Brazillian trucks. The objective of the research reported here was to recalibrate Vissim\'s truck acceleration functions using the difference between real and simulated truck speed profiles as goodness-of-fit measures. The speed profiles were created using GPS data obtained from trucks travelling over a four-lane freeway situated on rolling terrain, under low traffic flow. Speed noise was removed from GPS data using a Gaussian filter. The longitudinal profile of the freeway was determined using GPS data, to allow for the comparison of observed and simulated speeds at fixed points along the segment. The calibration procedure was automated and based on a genetic algorithm. Every calibration run provided a configuration for the acceleration functions that reduced the difference between simulated and real speed profiles, if compared to the simulator\'s default configuration. The effects of the truck performance model recalibration were demonstrated by means of a case study focusing on the estimation of passenger-car equivalents for Brazilian trucks travelling on freeways.
Piva, Fernando José. "Fatores de equivalência de veículos pesados em rodovias de pista dupla." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-14082015-095803/.
Full textThe objective of this study is to evaluate the impact of heavy vehicles on the quality of service on Brazilian expressways (freeways and divided multilane highways), using passenger-car equivalents (PCEs) for heavy vehicles (trucks and buses). PCE estimates for expressways with three or more traffic lanes in each direction were obtained using traffic data collected over short time intervals (5 or 6 minutes) on expressways in the state of São Paulo. A total of 53,655 speed-flow observations, made at eight permanent trac sensor installations during 2010 and 2011, were used in this study. A PCE estimate was calculated for each time interval, using an equation derived from Huber\'s method, based on the assumption that the quality of service is the same across all traffic lanes during the time interval over which the traffic data is collected. Basic flow (passenger cars only) was assumed to be the observed traffic flow on the lane closest to the median, whereas mixed flow (passenger cars and heavy vehicles) was assumed to be the observed traffic flow on the lane closest to the shoulder. The results indicate that: (1) in a signicant portion of the time (52% of the observations) the quality of service is not the same across all traffic lanes; (2) the marginal impact of heavy vehicles decreases as the fraction of heavy vehicles in the traffic stream increases; and (3) the variations in PCE estimates due to the level of service are less evident on steeper grades, where the effect of heavy vehicles\' poorer performance is greater. PCE estimates obtained in this study were compared with PCEs obtained using simulation. The results indicate that PCE from empirical data are consistently higher than those estimated from simulation results.
Ingle, Anthony. "Development of Passenger Car Equivalents for Basic Freeway Segments." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/33951.
Full textMaster of Science
Cunha, André Luiz Barbosa Nunes da. "Avaliação do impacto da medida de desempenho no equivalente veicular de caminhões." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-27112007-094400/.
Full textThe objective of this research was to evaluate the use of a measure of impedance alternative to density to obtain passenger-car equivalence factors for typical trucks on multilane highways in the state of São Paulo. The impedance investigated was the passenger-car speed, and the equivalence factors were obtained through the average equivalent method since it considers different types of trucks within the traffic flow, is capable to represent interactions among trucks adequately, and allow the use of traffic simulation. Since the estimation method employed is based on a fixed truck population, the truck flow on multilane highways in the state of São Paulo was characterized based on two aspects: (1) a typical traffic flow, considering the traffic flow on typical weekdays, (2) the truck performance based on mass/power ratio. The simulation model employed was CORSIM, the same model used in the HCM-2000, and it was calibrated for the conditions observed in multilane highways in the state of São Paulo. The calibration was carried out using genetic algorithms and involved two steps. The first one focused on the truck motion model and produced average errors around 5%. The second one focused on the car-following logic that defines the drivers\' behavior. The CORSIM calibrated for the state of São Paulo highways produced average errors of 6.32% at the calibration stage and average errors of 6.58% at the validation stage. Passenger-car equivalents were calculated for different grade levels, grade lengths, trucks percentages, free-flow speeds and leves of service using passenger-car speed and density as the impedance measure. It was observed that, when compared to density, the use of passenger-car speed as a measure of impedance results in higher values for the equivalence factors. It means smaller capacities and worse estimates for level of service.
Hidayati, Nurul. "The impact of the school safety zone on passenger car equivalent values in Indonesian urban roads." Thesis, University of Leeds, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.634446.
Full textRamsay, Euan Douglas. "Assessment and reduction of the impacts of large freight vehicles on urban traffic corridor performance." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16424/.
Full textLennie, Sandra Christine. "Assessing the spatial impacts of multi-combination vehicles on an urban motorway." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16066/.
Full textHuang, Yu-Lun, and 黃郁倫. "Analysis of Passenger Car Equivalent of Scooter for Signal Timing Design." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/e5xt9j.
Full text國立臺灣大學
土木工程學研究所
107
Mixed traffic flow is the specific characteristic for Taiwan and some Southeast Asian countries. Besides, the scooter is the main transportation mode in these countries. The driving behavior of the scooter is quite different from that of the car. For example, the scooter will filter between lanes and vehicles rather than follow the lane discipline. In the consideration of the driving safety and driving efficiency, there are specific road designs for the driving behavior of the scooter in domestic. The road designs cause the specific departing property of the scooter and also create the mixed traffic flow different from some Southeast Asian countries for Taiwan. It is common that the heterogeneous traffic flow is converted into homogeneous traffic flow by Passenger Car Equivalent (PCE). In the past, the factors which can indicate the driving behavior are used to estimate Passenger Car Equivalent of scooter which are traffic speed, occupied space, headway, and so on. However, it is few to estimate the Passenger Car Equivalent of scooter considering the signal timing design. The appropriate signal timing can not only reduce the conflict and delay in the intersection effectively, but also improve the performance of the intersection and the driving efficiency. Among the signal timing design, traffic flow will be one of the vital considerations. Therefore, the estimation of Passenger Car Equivalent of scooter is quite important to the signal timing. The right Passenger Car Equivalent of scooter can bring the correct green-split demand for each direction or each movement and design the most appropriate signal timing. In this study, the data of the departure time for the stop queue is collected for constructing the Green-Split Demand Model (G-D model) under different traffic conditions and estimating the Passenger Car Equivalent of scooter based on Green-Split Demand Model. Moreover, the different Passenger Car Equivalent of scooter by the different traffic conditions are considered in this study. Besides, there are three kinds of regression models which are the simple linear regression model, the nonlinear regression model with the exponential distribution, and the quadratic regression model. It is found that the most of traffic conditions are more suitable to the nonlinear regression models and the quadratic regression models which means that the relationship between the amount of scooters and cars should vary by the different traffic conditions. It is concluded that the Passenger Car Equivalent of scooter should be a varied value. In this study, the estimated models for the Passenger Car Equivalent are constructed by the estimated values of Passenger Car Equivalent from the most appropriate regression model. By the estimated models, the Passenger Car Equivalent of scooter can be estimated based on different traffic conditions and those values are applied to the successive design for the signal timing. In this study, the critical movement signal re-timing method based on the cycle length and the critical movement signal re-timing method based on the green-split demand are planned based on the concept of Critical Movement Method. The critical movement signal re-timing method based on the cycle length calculates the most appropriate cycle length by Webster-Cobbe Formula and distributes the green-split by the critical movement. The critical movement signal re-timing method based on the green-split demand calculates the green-split demand required by each movement by Green-Split Demand Model and also distributes the green-split by the critical movement. The microscopic traffic simulation software, VISSIM, is used to construct the road environment with the signal re-timing programs and the average stop delay and the degree of saturation are used to be the performance indicators. It is found that the signal re-timing method with the Passenger Car Equivalent of scooter estimated by the regression model based on each intersection can not only reduce the average stop delay of the intersection, but also satisfy the green-split demand of each direction and each movement. Therefore, the result indicates the considerations of the departure time of stop queue can show the property of the starting waiting zone which can depart substantial amounts of scooter in a short period. Besides, the varied Passenger Car Equivalent of scooter for different traffic condition is essential to the signal timing design. The suggested values of Passenger Car Equivalent are given in the traffic conditions with the different total departure time in the mixture lane and the different mixture rates. The value of Passenger Car Equivalent should be 0.00 to 0.10 when the total departure time in the mixture lane is lager than 50 seconds and the mixture rate is lager than 50%. The value of Passenger Car Equivalent should be 0.10 to 0.15 when the total departure time in the mixture lane is lager than 50 seconds and the mixture rate is smaller than 50%. The value of Passenger Car Equivalent should be 0.15 to 0.20 when the total departure time in the mixture lane is between 30 to 50 seconds and the mixture rate is larger than 30%. The value of Passenger Car Equivalent should be 0.20 to 0.30 when the total departure time in the mixture lane is between 30 to 50 seconds and the mixture rate is smaller than 30%. The value of Passenger Car Equivalent should be 0.20 to 0.30 when the total departure time in the mixture lane is smaller than 30 seconds.
Chitturi, Madhav Vijaya. "Methodology for development of delay-based passenger car equivalents of heavy vehicles in work zones /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3290203.
Full textSource: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7508. Adviser: Rahim F. Benekohal. Includes bibliographical references (leaves 216-222) Available on microfilm from Pro Quest Information and Learning.
Ferreira, Rita Alexandra da Cruz Braz. "Avaliação da influência dos veículos pesados no desempenho operacional da infraestrutura rodoviária, recorrendo a técnicas de microssimulação." Master's thesis, 2017. http://hdl.handle.net/10316/82902.
Full textO tráfego rodoviário é caraterizado por um grande número de diferentes tipos de veículos, e, devido às suas caraterísticas físicas e mecânicas, têm diferente influência no desempenho da infraestrutura rodoviária. Devido às suas dimensões e relação peso/potência, os veículos pesados caracterizam-se habitualmente pela prática de velocidades inferiores às do tráfego de veículos ligeiros, sendo esse efeito particularmente agravado em rampas ascendentes de elevada inclinação. Tal característica reflete-se habitualmente na redução da capacidade e dos níveis de serviço associados às rodovias. Importa assim compreender, quais os fatores que afetam o desempenho dos veículos pesados. O objetivo deste estudo é avaliar o impacto dos veículos pesados na qualidade de serviço de correntes de tráfego, a partir de estimativas de fatores de equivalência, usando modelos de microssimulação e tendo por base as condições de circulação. O trecho analisado corresponde a um segmento de autoestrada, e através do simulador AIMSUN foi possível controlar as características da estrada, do tráfego, dos veículos e dos condutores. Os dados da simulação permitiram desenvolver as relações entre as variáveis escolhidas, para calcular os fatores de equivalência, comparando um tráfego apenas com veículos ligeiros com um tráfego misto. Neste estudo concluiu-se que o efeito dos veículos pesados diminui com o aumento da percentagem de veículos pesados, e aumenta com a variação do nível de saturação, uma vez que para volumes mais baixos há menos interação entre os veículos. Também se verificou um aumento do efeito dos veículos pesados com o aumento da inclinação e da extensão do trecho inclinado, devido à sua relação peso/potência.
Road traffic is characterized by a large number of different types of vehicles and, due of their physical and mechanical characteristics, have different influence on the performance of road infrastructure. Due to their size and weight / power ratio, heavy vehicles are usually characterized by lower speeds than passenger car, and this effect is particularly aggravated by steep upgrades. This characteristic is usually reflected in the reduction of capacity and service levels associated with highways. It matters that, which are factors that affect the performance of heavy vehicles. The objective of this study is the impact of heavy vehicles on the quality of service of traffic streams, from equivalence models, using microsimulation models and based on conditions of circulation. The section analyzed corresponds to a segment of freeway, and through the AIMSUN microsimulator, it was possible to control the characteristics of road, traffic, vehicles and drivers. The simulation data were allowed as the relationships between variables, to calculate the equivalence factors, comparing a fleet of passenger cars only with a mixed fleet. In this study, we conclude the effect of heavy vehicles: decrease with increase of percentage of heavy vehicles; increase with increase of saturation level, because for lower volumes there is less interaction between vehicles. There was also an increase in the effect of heavy vehicles with increase of level grades and grade length due to weight / power ratio.
Book chapters on the topic "Passenger-car equivalentes"
Roess, Roger P., and Elena S. Prassas. "Passenger Car Equivalents and Other Adjustment Factors." In The Highway Capacity Manual: A Conceptual and Research History, 77–117. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05786-6_4.
Full textWang, Xu, Weiwei Qi, and Mina Ghanbarikarekani. "Estimation of Heavy Vehicle Passenger Car Equivalents for On-Ramp Adjacent Zones Under Different Traffic Volumes: A Case Study." In Intelligent Interactive Multimedia Systems and Services, 338–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92231-7_35.
Full textConference papers on the topic "Passenger-car equivalentes"
Do, Ngoc-Hien, Quynh-Lam Le Ngoc, and Ki-Chan Nam. "An Estimation Of Passenger Car Equivalent Of Motorbikes." In 24th European Conference on Modelling and Simulation. ECMS, 2009. http://dx.doi.org/10.7148/2001-0098-0103.
Full textDo, Ngoc-Hien, Quynh-Lam Le Ngoc, and Ki-Chan Nam. "An Estimation Of Passenger Car Equivalent Of Motorbikes." In 24th European Conference on Modelling and Simulation. ECMS, 2010. http://dx.doi.org/10.7148/2010-0098-0103.
Full textLiu, Juanjuan. "Study on Passenger Car Equivalents Based on the Emissions." In International Conference of Logistics Engineering and Management (ICLEM) 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41139(387)91.
Full textJili, Xu, Zhang Chang, Liu Wei, and Zhang Huiling. "Study on the Passenger Car Equivalent at Signalized Intersection." In 2012 Fifth International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2012. http://dx.doi.org/10.1109/icicta.2012.129.
Full textShuguang, Li, and Wang Ke. "The estimation of passenger car equivalent for highway under oversaturated conditions." In 2015 International Conference on Transportation Information and Safety (ICTIS). IEEE, 2015. http://dx.doi.org/10.1109/ictis.2015.7232073.
Full textLi, Chen, Zhiyong Zhang, Junbin Xu, Kewen Wang, and Yujin Li. "Study of ETC Lane Traffic Capacity Based on Passenger Car Equivalent." In The Twelfth COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.047.
Full textTalamini, Brandon, Benjamin Perlman, and Jeff Gordon. "Development of a Standard for New Passenger Car Wheel Designs." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14735.
Full textCarolan, Michael, Benjamin Perlman, David Tyrell, and Jeff Gordon. "Crippling Test of a Budd M-1 Passenger Railcar: Test and Analysis Results." In 2014 Joint Rail Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/jrc2014-3824.
Full textLlana, Patricia G. "Structural Crashworthiness Standards Comparison: Grade-Crossing Collision Scenarios." In ASME 2009 Rail Transportation Division Fall Technical Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/rtdf2009-18030.
Full textCarolan, Michael, and Michelle Priante Muhlanger. "Strategy for Alternative Occupant Volume Testing." In ASME 2009 Rail Transportation Division Fall Technical Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/rtdf2009-18025.
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