Literatura científica selecionada sobre o tema "Ridesplitting"
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Artigos de revistas sobre o assunto "Ridesplitting"
Cahyo, Anggit, Nahry e Helen Burhan. "Mode choice model analysis between ridesouring and ridesplitting service in DKI Jakarta". MATEC Web of Conferences 270 (2019): 03013. http://dx.doi.org/10.1051/matecconf/201927003013.
Texto completo da fonteLi, Xiaomei, Yiwen Zhang, Zijie Yang, Yijun Zhu, Cihang Li e Wenxiang Li. "Modeling Choice Behaviors for Ridesplitting under a Carbon Credit Scheme". Sustainability 15, n.º 16 (10 de agosto de 2023): 12241. http://dx.doi.org/10.3390/su151612241.
Texto completo da fonteWang, Jincheng, Qunqi Wu, Zilin Chen, Yilong Ren e Yaqun Gao. "Exploring the Factors of Intercity Ridesplitting Based on Observed and GIS Data: A Case Study in China". ISPRS International Journal of Geo-Information 10, n.º 9 (17 de setembro de 2021): 622. http://dx.doi.org/10.3390/ijgi10090622.
Texto completo da fonteLi, Xinghua, Feiyu Feng, Wei Wang, Cheng Cheng, Tianzuo Wang e Pengcheng Tang. "Structure Analysis of Factors Influencing the Preference of Ridesplitting". Journal of Advanced Transportation 2021 (24 de fevereiro de 2021): 1–8. http://dx.doi.org/10.1155/2021/8820701.
Texto completo da fonteDu, Mingyang, Lin Cheng, Xuefeng Li, Qiyang Liu e Jingzong Yang. "Spatial variation of ridesplitting adoption rate in Chicago". Transportation Research Part A: Policy and Practice 164 (outubro de 2022): 13–37. http://dx.doi.org/10.1016/j.tra.2022.07.018.
Texto completo da fonteBeojone, Caio Vitor, e Nikolas Geroliminis. "A dynamic multi-region MFD model for ride-sourcing with ridesplitting". Transportation Research Part B: Methodological 177 (novembro de 2023): 102821. http://dx.doi.org/10.1016/j.trb.2023.102821.
Texto completo da fonteLi, Wenxiang, Lei Wang, Ziyuan Pu, Long Cheng e Linchuan Yang. "What determines the real-world CO2 emission reductions of ridesplitting trips?" Travel Behaviour and Society 35 (abril de 2024): 100734. http://dx.doi.org/10.1016/j.tbs.2023.100734.
Texto completo da fonteTu, Meiting, Wenxiang Li, Olivier Orfila, Ye Li e Dominique Gruyer. "Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu". Transportation Research Part D: Transport and Environment 93 (abril de 2021): 102776. http://dx.doi.org/10.1016/j.trd.2021.102776.
Texto completo da fonteZhu, Zheng, Xiaoran Qin, Jintao Ke, Zhengfei Zheng e Hai Yang. "Analysis of multi-modal commute behavior with feeding and competing ridesplitting services". Transportation Research Part A: Policy and Practice 132 (fevereiro de 2020): 713–27. http://dx.doi.org/10.1016/j.tra.2019.12.018.
Texto completo da fonteChen, Xiqun (Michael), Majid Zahiri e Shuaichao Zhang. "Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach". Transportation Research Part C: Emerging Technologies 76 (março de 2017): 51–70. http://dx.doi.org/10.1016/j.trc.2016.12.018.
Texto completo da fonteTeses / dissertações sobre o assunto "Ridesplitting"
Tu, Meiting. "Optimisation des services de "ridesourcing" pour le déploiement futur des véhicules autonomes et connectés en milieu urbain". Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG048.
Texto completo da fonteOn-demand ridesourcing services have become increasingly popular due to their convenience. There are some debates claiming that ridesourcing services could increase congestion and pollution. Ridesplitting, a new shared mobility service, is a more sustainable travel mode for improving traffic efficiency and reducing air pollution. Therefore, the motivation of this study is to propose an optimization framework for the shared mobility system (SMS). The originality and innovative aspects of this dissertation could be summarized according to 2 perspectives. For the value of theory and methodology, the proposed framework for the SMS could provide a systematic methodology for the modelling and simulation. The proposed artificial intelligent algorithms could provide a better understanding for the researches of travel behaviors analysis and spatiotemporal modelling. For the value of practical application, the proposed shared mobility system could help improve ridesplitting service to build a low carbon transport, which could incorporate CAVs for the future mobility
Trabalhos de conferências sobre o assunto "Ridesplitting"
Zhu, Jiangtao, Dong Mo e Xiqun (Michael) Chen. "A Grouping Approach to Ridesplitting Optimization". In 20th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482933.394.
Texto completo da fonteChen, Zilin, Yilong Ren, Xinrui Zheng e Xiang Fu. "Impact of COVID-19 on Spatiotemporal Factors Affecting Ridesplitting Demand". In 22nd COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484265.084.
Texto completo da fonteZhang, Fangda, Shannon Roberts e Claudia Goldman. "A Survey Study Measuring People's Preferences Towards Automated and Non-Automated Ridesplitting". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2019. http://dx.doi.org/10.17077/drivingassessment.1680.
Texto completo da fonteTU, Meiting, Ye LI, Wenxiang LI, Minchao TU, Olivier Orfila, Dominique Gruyer e Xuegang BAN. "Improving Ridesplitting Service Using Optimization Procedures on Shareability Network: A Case Study of Chengdu, China". In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917402.
Texto completo da fonteChen, Zilin, Haiyang Yu e Runkun Liu. "Exploring the Spatiotemporal Factors of Ridesplitting Demand Based on the Geographically and Temporally Weighted Regression". In 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS). IEEE, 2021. http://dx.doi.org/10.1109/tocs53301.2021.9688587.
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