Covoiturage offre↔demande & réseau urbain/périurbain

Corpus ciblé sur la problématique de thèse :

Les approches demand-driven et offer-driven sont complémentaires ; l’utilisation d’un réseau (hubs, PUDO, lignes) pour concentrer les flux améliore l’efficacité du covoiturage en milieu urbain et périurbain.

290 articles — 2020–2026 (incluant veille 2025-2026)

---

Tableau récapitulatif

Liste des articles

• Bozek A. (2026) — General two-level framework for demand-responsive transport
• Abdus Samad Farooq (2025) — Evaluating the carpooling potential among travelers in the s
• Bongiovanni (2023) — AccEq-DRT: Planning Demand-Responsive Transit to reduce ineq
• Adeel Munawar (2025) — Smart Carpooling: A Survey on Research Technologies, and Inn
• Adelé S.; Dionisio C. (2020) — Learning from the real practices of users of a smart carpool
• Zuhayer Mahtab et al. (2025) — The ridesharing routing problem with flexible pickup and dro
• Alessandro La Delfa (2025) — Sustainable Mobility and Shared Autonomous Vehicles: A Syste
• Alisoltani N.; Leclercq L.; Zargayouna M. (2024) — An agent-based simulation modeling framework for Mobility-as
• Alix Le Goff (2025) — Promoting urban carpooling: a social cost approach based on
• Alonso-González María J.; Cats Oded; van Oort Niels; Hoogendoorn-Lanser Sascha; Hoogendoorn Serge (2021) — What are the determinants of the willingness to share rides
• Anchi Zhang (2026) — Promoting carpooling in ride-hailing services with motivatio
• Ankinée Kirakozian (2025) — Nudging employees for greener mobility—A field experiment
• Auteurs non confirmés (arXiv) (2025) — Modeling the Curbside Congestion Effects of Ride-hailing Ser
• Auteurs non confirmés (arXiv) (2025) — Optimizing Ride-Pooling Operations with Extended Pickup and
• Auteurs non confirmés (arXiv) (2025) — Scalable Ride-Sourcing Vehicle Rebalancing with Service Acce
• Auteurs non confirmés (arXiv (2025) — Semi-on-Demand Off-Peak Transit Services with Shared Autonom
• Auteurs non confirmés (arXiv) (2026) — Advancing Dynamic Ride-Pooling Simulation — A Highly Scalab
• Authors listed in arXiv:2501.13448 (2025) — BMG-Q: Localized Bipartite Match Graph Attention Q-Learning
• Authors listed in arXiv:2503.13200 (2025) — Timing the Match: A Deep Reinforcement Learning Approach for
• Auteurs non confirmés (2025) — From ride-hailing to high-capacity ride-sharing: a user-cent
• Auteurs non confirmés (arXiv) (2025) — Modeling the Curbside Congestion Effects of Ride-hailing Ser
• Auteurs non confirmés (article Taylor & Francis) (2025) — Moving beyond assumptions: stop times and key determinants f
• Auteurs non confirmés (Urban Informatics (2025) — Network-based pick-up and drop-off location optimization for
• Auteurs non confirmés (arXiv) (2025) — Optimizing Ride-Pooling Operations with Extended Pickup and
• Auteurs non confirmés (MDPI Sustainability) (2025) — Ridesharing Methods for High-Speed Railway Hubs Considering
• Auteurs non confirmés (arXiv) (2025) — Scalable Ride-Sourcing Vehicle Rebalancing with Service Acce
• Auteurs non confirmés (arXiv (2025) — Semi-on-Demand Off-Peak Transit Services with Shared Autonom
• Auteurs non confirmés (arXiv / Transportmetrica B) (2025) — Surrogate-based real-time curbside management for ride-haili
• Auteurs non confirmés (MDPI Logistics) (2025) — Towards a Concept for a Multifunctional Mobility Hub: Combin
• Auteurs non confirmés (arXiv) (2026) — Advancing Dynamic Ride-Pooling Simulation — A Highly Scalab
• Authors listed in arXiv:2501.13448 (2025) — BMG-Q: Localized Bipartite Match Graph Attention Q-Learning
• Authors listed in Transportation Research Part C (2025) — The emergence of rideshare buddy-pooling behavior: Dynamic u
• Authors listed in arXiv:2503.13200 (2025) — Timing the Match: A Deep Reinforcement Learning Approach for
• Authors listed in Scientific Reports s41598-026-35004-8 (2026) — A multi-agent reinforcement learning scheduling algorithm in
• Authors listed in arXiv:2510.03257 (ICLR 2026 oral) (2026) — Triple-BERT: Do We Really Need MARL for Order Dispatch on Ri
• Auteurs non confirmés (arXiv / Transportmetrica B) (2025) — Surrogate-based real-time curbside management for ride-haili
• Yixuan Bao (2026) — Optimal Design of a Hub-and-Spoke Transit Network with Auton
• Bastarianto F. F.; Hancock T. O.; Choudhury C. F.; Manley E. (2023) — Agent-based models in urban transportation: review, challeng
• Bing Liu (2025) — Demand-side decarbonisation at scale via MaaS-integrated car
• Boysen Nils; Briskorn Dirk; Schwerdfeger Stefan; Stephan Konrad (2021) — Optimizing carpool formation along high-occupancy vehicle la
• Bozek A. (2026) — General two-level framework for demand-responsive transport
• Bulteau J.; Feuillet T.; Dantan S.; Abbes S. (2023) — Encouraging carpooling for commuting in the Paris area (Fran
• Bursa Bartosz; Rabeneick Nils; Ebner Ferdinand; Mailer Markus (2026) — Benefits and harms of DRT in suburban areas – analysis of us
• Authors listed in Transportation Research Part C (2025) — The emergence of rideshare buddy-pooling behavior: Dynamic u
• Calabrò Giovanni; Le Pira Michela; Inturri Giuseppe (2025) — Where and when does demand-responsive transport work best? A
• Camargo-Moreno Yessenia; García-Mora Felipe; Sarmiento Ivan (2024) — Decision-making in open carpooling programs: Perspectives of
• Capodici Andrea Emanuele; D’Orso Gabriele; Migliore Manfredi; Vittorietti Matteo (2024) — Designing microtransit services in suburban areas: A case st
• Capodici Andrea Emanuele; D’Orso Gabriele; Migliore Manfredi; Vittorietti Matteo (2025) — A Stated Preference Survey to Forecast Microtransit Choice i
• Cats Oded (2022) — The shareability potential of ride-pooling under alternative
• Cellina F.; Derboni M.; Giuffrida V.; Tomic U.; Hoerler R. (2024) — Trust me if you can: Practical challenges affecting the inte
• Cellina F.; Tomic U.; Hoerler R.; Derboni M.; Giuffrida V. (2026) — (Un)Easy Riders: The real-world potential of integrating car
• Francesca Cellina (2026) — (Un)Easy Riders: The real-world potential of integrating car
• Chaabouni Y.; Araldo A.; de Palma A.; Arib S. (2022) — PoolLines: Modeling Carpooling as Ephemeral Lines in GTFS fo
• Chen W.; Shi H.; Ke J. (2024) — Quantifying traffic emission reductions and traffic congesti
• Chen W.; Shi H.; Ke J. (2025) — HRSim: An agent-based simulation platform for high-capacity
• Chen Zhiwei; Li Xiaopeng; Liu Xiaobo (2025) — Optimal design of fixed-route and demand-responsive transit
• Chen et al. (2024) — Multi-Objective Planning of Commuter Carpooling under Time-V
• Wang Chen (2025) — HRSim: An agent-based simulation platform for high-capacity
• Junlin Chen (2025) — On the Linear Programming Model for Dynamic Stochastic Match
• Seung-Wan Cho (2025) — Analyzing New Operation Strategy of Demand-Responsive Transp
• Chuan Zhao (2026) — The optimal government policy towards carpooling market: A d
• Cohen Maxime C.; Jacquillat Alexandre; Ratzon Avia; Sasson Roy (2022) — The impact of high-occupancy vehicle lanes on carpooling
• Auteurs non confirmés (2025) — From ride-hailing to high-capacity ride-sharing: a user-cent
• Non spécifié dans les sources consultées (2025) — Beyond Traditional Public Transport: A Cost–Benefit Analysis
• Non spécifié dans les sources consultées (2025) — Can driving automation make demand responsive transit viable
• Non spécifié dans les sources consultées (2025) — Ranking the performance of demand responsive transport servi
• Non spécifié dans les sources consultées (2025) — Where and when does demand-responsive transport work best? A
• Non spécifié dans les sources consultées (2026) — Causal impacts of demand responsive transit on public transi
• Non spécifié dans les sources consultées (2026) — Demand-responsive transportation (DRT) in rural towns: the r
• Non spécifié dans les sources consultées (2026) — Fixed-route or demand-responsive transit? An evaluation fram
• Non spécifié dans les sources consultées (2026) — How built environment factors shape demand for demand-respon
• Cortenbach Leonie E.; Gkiotsalitis Konstantinos; van Berkum Eric C.; Walraven Erwin (2024) — The Dial-a-Ride Problem with Meeting Points: A Problem Formu
• Jim Dai (2025) — Atomic Proximal Policy Optimization for Electric Robo-Taxi D
• de Palma André; Stokkink Patrick; Geroliminis Nikolas (2022) — Influence of dynamic congestion with scheduling preferences
• de Ruijter Arjan; Cats Oded; Alonso-Mora Javier; Hoogendoorn Serge (2023) — Ride-pooling adoption, efficiency and level of service under
• Alessandro La Delfa (2025) — Sustainable Mobility and Shared Autonomous Vehicles: A Syste
• Díaz-Cely Jorge; Cantillo Víctor; Arellana Julián (2026) — Exploring peer-to-peer paid carpooling in Bogotá: A path to
• Severin Diepolder (2025) — Quantifying the Improvement of Accessibility achieved via Sh
• Dong Tingting; Hu Yulong; Wang Zemin; Li Sen (2025) — Integrated optimization of ride-pooling and shared micro-mob
• Dong X.; Liu H.; Gayah V.V. (2024) — An analytical model of many-to-one carpool system performanc
• Du Muqing; Zhou Jiankun; Li Guoyuan; Tan Heqing; Chen Anthony (2024) — A stochastic ridesharing user equilibrium model with origin-
• Yuval Efron (2025) — A Simple Algorithm for Dynamic Carpooling with Recourse
• Fan Wenbo; Gu Weihua; Xu Meng (2024) — Optimal design of ride-pooling as on-demand feeder services
• Fan (2025) — Fly-by transit: A novel door-to-door shared mobility with mi
• Farnoosh Namdarpour (2025) — Non-myopic Matching and Rebalancing in Large-Scale On-Demand
• Abdus Samad Farooq (2025) — Evaluating the carpooling potential among travelers in the s
• Fathollahi-Fard Amir Mohammad; Liu Weilong; Du Ningning (2025) — Sustainable ridesharing routing and scheduling problem: an e
• Fawaz Salihou (2025) — The impacts of combining incentives on carpooling for commut
• Fielbaum Andres; Bai Xiaoshan; Alonso-Mora Javier (2021) — On-demand ridesharing with optimized pick-up and drop-off wa
• Fielbaum Andres; Tirachini Alejandro; Alonso-Mora Javier (2024) — Improving public transportation via line-based integration o
• Fielbaum Andrés; Alonso-Mora Javier (2024) — Ride-pooling service assessment with heterogeneous traveller
• Francesca Cellina (2026) — (Un)Easy Riders: The real-world potential of integrating car
• Auteurs non confirmés (article Taylor & Francis) (2025) — Moving beyond assumptions: stop times and key determinants f
• Galland S.; Balbo F.; Gaud N.; Rodriguez S. (2023) — Agent-Based Approach for (Peri-)Urban Inter-Modality Policie
• Gangadharaiah (2025) — Pooled Rideshare in the U.S.: An Exploratory Study of User P
• Rakesh Gangadharaiah (2026) — Modeling and Optimization of Pooled Rideshare Services in Fu
• Gao Chang; Wang Yineng; He Fang; Lin Xi (2025) — Modeling and analyzing ride-hailing market equilibrium consi
• Gödde Jan; Ruhrort Lisa; Allert Viktoria; Scheiner Joachim (2023) — User characteristics and spatial correlates of ride-pooling
• Alix Le Goff (2025) — Promoting urban carpooling: a social cost approach based on
• Haichao Liu (2025) — CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and M
• Haitam Laarabi (2026) — Rethinking Pooled Ride-Hailing as Large-Scale Simulations Re
• Harmann Dennis; Knoll Christian; Schäfer Tobias; Lüttmerding Arne (2022) — Methodological Distribution of Virtual Stops for Ridepooling
• Ho Chinh Quoc; Kieu Long Minh; Yeh Chung-Jen (2025) — Suitable placement for on-demand Transport (SPOT): A systema
• Höing Niklas; Burla Pradeep; Louen Conny; Böhnen Carina; Kuhnimhof Tobias (2025) — Integrating demand-responsive services into public transport
• Hu (2025) — Coordinating Ride-Pooling with Public Transit using Reward-G
• Huang H.; Chang Y.; Sun Z.; Zhao D. (2022) — An Overview of Agent-Based Models for Transport Simulation a
• Hub (2025) — How Intuitive is AR-Based Navigation to Find Virtual Stops i
• Hunter Christian B.; Kockelman Kara M.; Djavadian Shadi (2024) — Curb Allocation and Pick-Up Drop-Off Aggregation for a Share
• Hussain (2025) — Exploring Commuter’s Preferences and Future Intentions to Us
• Hyunmyung Kim (2026) — Modeling the Demand for Demand Responsive Transit Service in
• Auteurs non confirmés (Urban Informatics (2025) — Network-based pick-up and drop-off location optimization for
• Itani Alaa; Klumpenhouwer Willem; Shalaby Amer; Hemily Brendon (2024) — Guiding principles for integrating on-demand transit into co
• Jason Lu (2026) — The Impact of Shared Autonomous Vehicles in Microtransit Sys
• Muhammad Ashraf Javid (2025) — Latent class analysis of carpooling intentions considering t
• Muhammad Ashraf Javid (2025) — Students’ Intentions toward Carpooling in Sohar, Oman: Impor
• Jie Liu (2026) — When to Match: A Cost-Balancing Principle for Dynamic Market
• Jim Dai (2025) — Atomic Proximal Policy Optimization for Electric Robo-Taxi D
• Kai Jungel (2025) — Learning-Based Online Optimization for Autonomous Mobility-o
• Junlin Chen (2025) — On the Linear Programming Model for Dynamic Stochastic Match
• Kadem Khadidja; Leclercq Ludovic; Becarie Clément; Delhoum Yanis (2024) — Multimodal urban transportation network equilibrium includin
• Kai Jungel (2025) — Learning-Based Online Optimization for Autonomous Mobility-o
• Karolemeas C.; Tsigdinos S.; Moschou E.; Kepaptsoglou K. (2024) — Shared autonomous vehicles and agent based models: a review
• Ke Jintao; Chen Xiqun; Yang Hai; Li Sen (2022) — Coordinating supply and demand in ride-sourcing markets with
• Keshvarinia Mehdi (2023) — Vehicle Routing Problem for Urban and Grey Zones Considering
• Kim Junghwan; Choi Keechoo (2026) — Causal impacts of demand responsive transit on public transi
• Hyunmyung Kim (2026) — Modeling the Demand for Demand Responsive Transit Service in
• Ankinée Kirakozian (2025) — Nudging employees for greener mobility—A field experiment
• S. J. Abbasi Koumleh (2025) — Intermodal Network of Autonomous Mobility-on-Demand and Micr
• Kucharski Rafał; Cats Oded; Sienkiewicz Julita (2025) — An urban shared pooled mobility system cuts distance travell
• Kucharski Rafal; Cats Oded (2024) — Hyper-pool: pooling private trips into high-occupancy transi
• Kucharski Rafal; Cats Oded (2024) — Hyper pooling private trips into high occupancy transit like
• Haitam Laarabi (2026) — Rethinking Pooled Ride-Hailing as Large-Scale Simulations Re
• Laupichler Moritz; Sanders Peter (2023) — Fast Many-to-Many Routing for Ridesharing with Multiple Pick
• Le Goff A.; Monchambert G.; Raux C. (2022) — Are solo driving commuters ready to switch to carpool? Heter
• Le Goff Arnaud; Koning Martin; Monchambert Guillaume; Marchal Christophe; Ray Jean-Baptiste (2025) — Promoting urban carpooling: a social cost approach based on
• Lee Jung-Beom (2022) — Company-Wide Carpooling for Long Distance Commuting in South
• Li Jin; Zhang Hongping; Liu Huasheng; Wang Shiyan (2024) — Multi-Objective Planning of Commuter Carpooling under Time-V
• Li Xiang; Liu Wei; Qiao Junfeng; Li Jingwei (2023) — An Enhanced Semi-Flexible Transit Service with Introducing M
• Li Xiang; Liu Wei; Chen Zhiyuan (2024) — Applicability Analysis of a Line-Based Hybrid Transit System
• Li Yafei; Sun Huijun; Zhang Wei; Lv Ying; Chang Ximing (2025) — On-demand ride-sharing with the walking incentive for meetin
• Li Yuanyuan; Liu Yang; Xie Jun (2020) — A path-based equilibrium model for ridesharing matching
• Xinling Li (2025) — Reproducibility in the Control of Autonomous Mobility-on-Dem
• Xinling Li (2025) — Robo-Taxi Fleet Coordination with Accelerated High-Capacity
• Xinling Li (2025) — Robust Vehicle Rebalancing with Deep Uncertainty in Autonomo
• Y. Li (2026) — Joint Design of Unidirectional Dedicated Lanes and Multi-Dep
• Li Yang (2026) — Ride-Hailing Order Dispatching Based on Multi-Agent Reinforc
• Yuqian Lin (2025) — Exploring influential factors of fleet and parking managemen
• Liu Hongping; Zhang Jing; Li Wenfeng; Chen Peng (2023) — Multi-Objective Intercity Carpooling Route Optimization Cons
• Liu Jianming; Zhang Jingwei (2023) — Advanced algorithms for optimal meeting points in road netwo
• Liu Xin; Titheridge Helena; Yan Xuedong; Wang Rui; Tan Wenxuan; Chen Di; Zhang Jianyuan (2020) — A passenger-to-driver matching model for commuter carpooling
• Liu Yang; Wang Jiawei; Zhang Hao; Chen Xiqun (2024) — Estimating emissions reductions with carpooling and vehicle
• Liu Yining; Ouyang Yanfeng (2023) — Planning ride-pooling services with detour restrictions for
• Haichao Liu (2025) — CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and M
• Bing Liu (2025) — Demand-side decarbonisation at scale via MaaS-integrated car
• Jie Liu (2026) — When to Match: A Cost-Balancing Principle for Dynamic Market
• Auteurs non confirmés (MDPI Logistics) (2025) — Towards a Concept for a Multifunctional Mobility Hub: Combin
• Lotfi Salma; Abdelghany Khaled (2022) — Ride matching and vehicle routing for on-demand mobility ser
• Lotze Charlotte; Marszal Philip; Schröder Malte; Timme Marc (2022) — Dynamic stop pooling for flexible and sustainable ride shari
• Lotze Charlotte; Marszal Philip; Schröder Malte; Timme Marc (2023) — Taming Travel Time Fluctuations through Adaptive Stop Poolin
• Jason Lu (2026) — The Impact of Shared Autonomous Vehicles in Microtransit Sys
• Luigi Tresca (2025) — Robo-taxi Fleet Coordination at Scale via Reinforcement Lear
• Luo Jie; Chen Xiqun; Xiao Feng; Zheng Zuduo (2024) — Money is power: Carpooling stimulus with evidence from an in
• Álvarez-Ossorio Martínez (2025) — Analyzing the Effects of Pick-Up and Drop-Off Duration and i
• Ma Jie; Meng Qiang; Cheng Lin; Liu Zhiyuan (2022) — General stochastic ridesharing user equilibrium problem with
• Mahfouz Hussein; Morgan Malcolm; Heinen Eva; Lovelace Robin (2025) — Delineating potential DRT operating areas: An origin–destina
• Mahtab Zuhayer; Hu Shichun; Dessouky Maged; Ordoñez Fernando (2025) — The ridesharing routing problem with flexible pickup and dro
• Manzoni Valeria; Morreel Emma; Leclercq Ludovic; Calabrò Gaetano (2024) — Demand-Responsive Transport for Urban Mobility: Integrating
• Álvarez-Ossorio Martínez (2025) — Analyzing the Effects of Pick-Up and Drop-Off Duration and i
• Matthew Zalesak (2025) — Ride-pool Assignment Algorithms: Modern Implementation and S
• Mavi H.; Ranjbari A.; Guler S.I.; Gayah V.V. (2024) — What does it take for rural-urban commuters to switch from d
• Max T.M. Ng (2025) — Joint Optimization of Multimodal Transit Frequency and Share
• Non confirmés précisément (MDPI (2025) — How Can I Find My Ride? Importance of User Assistance in Fin
• Monchambert (2020) — Why do (or don’t) people carpool for long distance trips? A
• Muhammad Ashraf Javid (2025) — Latent class analysis of carpooling intentions considering t
• Muhammad Ashraf Javid (2025) — Students’ Intentions toward Carpooling in Sohar, Oman: Impor
• Müller J.; Nassar E.; Straub M. (2024) — Exploring the dynamics of dynamic ride-sharing: insights fro
• Multiple authors (Springer (2025) — Optimization-Based Approaches for Traffic and Fleet Manageme
• Adeel Munawar (2025) — Smart Carpooling: A Survey on Research Technologies, and Inn
• Farnoosh Namdarpour (2025) — Non-myopic Matching and Rebalancing in Large-Scale On-Demand
• Ng Max T. M.; Dandl Florian; Mahmassani Hani S.; Bogenberger Klaus (2024) — Semi-on-Demand Hybrid Transit Route Design with Shared Auton
• Max T.M. Ng (2025) — Joint Optimization of Multimodal Transit Frequency and Share
• Nina Thomsen (2026) — Reimagining rural transit: model-based insights into demand-
• Non disponible (article sous accès restreint) (2025) — A dynamic stable multi-rider ridesharing matching model cons
• Non disponible (article sous accès restreint) (2025) — An innovative data-driven integrated solution for ridesharin
• Non spécifié dans les sources consultées (2025) — Beyond Traditional Public Transport: A Cost–Benefit Analysis
• Non spécifié dans les sources consultées (2025) — Can driving automation make demand responsive transit viable
• Non confirmés précisément (MDPI (2025) — How Can I Find My Ride? Importance of User Assistance in Fin
• Non précisé dans les résultats de recherche (2025) — Integrating first-and-last-mile feeder services with urban p
• Non spécifié dans les sources consultées (2025) — Ranking the performance of demand responsive transport servi
• Non précisé dans les résultats de recherche (2025) — Rethinking shared mobility: analyzing the commercial sustain
• Non précisé dans les résultats de recherche (2025) — Suitable placement for on-demand Transport (SPOT): A systema
• Non spécifié dans les sources consultées (2025) — Where and when does demand-responsive transport work best? A
• Non spécifié dans les sources consultées (2026) — Causal impacts of demand responsive transit on public transi
• Non spécifié dans les sources consultées (2026) — Demand-responsive transportation (DRT) in rural towns: the r
• Non spécifié dans les sources consultées (2026) — Fixed-route or demand-responsive transit? An evaluation fram
• Non spécifié dans les sources consultées (2026) — How built environment factors shape demand for demand-respon
• Authors listed in arXiv:2510.03257 (ICLR 2026 oral) (2026) — Triple-BERT: Do We Really Need MARL for Order Dispatch on Ri
• Papoutsis Panayotis; Fennia Safa; Bridon Constant; Duong Tarn (2021) — Relaxing door-to-door matching reduces passenger waiting tim
• Papoutsis (2021) — Relaxing door-to-door matching reduces passenger waiting tim
• Powell Benjamin; Acharya Siddharth; Zakaria Randa; Grahn Ryan; Henao Alejandro (2024) — Improving demand responsive transit services: Insights from
• Rakesh Gangadharaiah (2026) — Modeling and Optimization of Pooled Rideshare Services in Fu
• Non précisé dans les résultats de recherche (2025) — Integrating first-and-last-mile feeder services with urban p
• Non précisé dans les résultats de recherche (2025) — Rethinking shared mobility: analyzing the commercial sustain
• Non précisé dans les résultats de recherche (2025) — Suitable placement for on-demand Transport (SPOT): A systema
• Non disponible (article sous accès restreint) (2025) — A dynamic stable multi-rider ridesharing matching model cons
• Non disponible (article sous accès restreint) (2025) — An innovative data-driven integrated solution for ridesharin
• Rey-Merchán María del Carmen; López-Arquillos Antonio; Pires Rosa Manuela (2022) — Carpooling Systems for Commuting among Teachers: An Expert P
• Sudipta Roy (2025) — Autonomous On-Demand Shuttles for First Mile–Last Mile Conne
• Rui Yan (2025) — Promoting carpooling on car-hailing platforms: Order allocat
• S. J. Abbasi Koumleh (2025) — Intermodal Network of Autonomous Mobility-on-Demand and Micr
• Authors listed in Scientific Reports s41598-026-35004-8 (2026) — A multi-agent reinforcement learning scheduling algorithm in
• Salihou Fawaz; Bulteau Julie; Le Boennec Rémy; Berrada Jaafar; Da Costa Pascal (2024) — The impacts of combining incentives on carpooling for commut
• Fawaz Salihou (2025) — The impacts of combining incentives on carpooling for commut
• Saxena A.; Gupta V. (2023) — Carpooling: Who is closest to adopting it? An investigation
• Seung-Wan Cho (2025) — Analyzing New Operation Strategy of Demand-Responsive Transp
• Severin Diepolder (2025) — Quantifying the Improvement of Accessibility achieved via Sh
• Shen Qing; Wang Yiyuan; Gifford Casey (2021) — Exploring partnership between transit agency and shared mobi
• Yifan Shen (2026) — On-Trip Matching and Pricing for Shared Rides
• Shulika Olha; Kucharski Rafal (2022) — Can we start sharing our rides again? The postpandemic ride-
• Si Hongyun; Shi Jiangang; Hua Wenwen; Cheng Long; De Vos Jonas; Li Wenxiang (2023) — What influences people to choose ridesharing? An overview of
• Si Jinhua; He Fang; Lin Xi; Tang Xindi (2024) — Vehicle Dispatching and Routing of On-Demand Intercity Ride-
• Multiple authors (Springer (2025) — Optimization-Based Approaches for Traffic and Fleet Manageme
• Stiglic Mitja; Agatz Niels; Savelsbergh Martin; Gradisar Mirko (2021) — Performance of reservation-based carpooling services under d
• Stumpe Miriam; Dieter Peter; Schryen Guido; Müller Oliver; Beverungen Daniel (2024) — Designing taxi ridesharing systems with shared pick-up and d
• Sudipta Roy (2025) — Autonomous On-Demand Shuttles for First Mile–Last Mile Conne
• Sun R.; Wu X.; Chen Y. (2022) — Assessing the impacts of ridesharing services: An agent-base
• Auteurs non confirmés (MDPI Sustainability) (2025) — Ridesharing Methods for High-Speed Railway Hubs Considering
• Tafreshian Amirmahdi; Masoud Neda; Yin Yafeng (2020) — Frontiers in Service Science: Ride Matching for Peer-to-Peer
• Thao Vu Thi; Imhof Sebastian; von Arx Widar (2023) — Demand responsive transport: New insights from peri-urban ex
• Thao (2022) — Demand responsive transport: New insights from peri-urban ex
• Nina Thomsen (2026) — Reimagining rural transit: model-based insights into demand-
• Tikoudis I.; Martinez L.; Farrow K.; Bouyssou C. G.; Petrik O.; Oueslati W. (2021) — Ridesharing services and urban transport CO2 emissions: Simu
• Qian (2021) — Temporal-spatial allocation of bottleneck capacity for manag
• Luigi Tresca (2025) — Robo-taxi Fleet Coordination at Scale via Reinforcement Lear
• Tuncel Kerem; Bish Douglas R. (2023) — An integrated ride-matching and vehicle-rebalancing model fo
• (2025) — Dynamic Minimum Service Level of Demand-Responsive Transit:
• (2025) — Optimization and Implementation Framework for Connected Dema
• (2026) — An analytical framework for flex-route transit service plann
• (2026) — Sustainable Customized Bus Services: A Data-Driven Framework
• Vasiutina Hanna; Shulika Olha; Bujak Michal; Ghasemi Farnoud; Kucharski Rafal (2025) — SimFLEX: A methodology for comparative analysis of urban are
• Vasiutina (2025) — SimFLEX: a methodology for comparative analysis of urban are
• Venter Christoffel; Joubert Jan; Mitteregger Mathias (2023) — Integration of ridesharing and activity travel pattern gener
• Wang Duo; Araldo Andrea; El Yacoubi Mounim (2025) — Planning Demand-Responsive Transit to reduce inequality of a
• Wang Jiachuan; Cheng Peng; Zheng Libin; Chen Lei; Zhang Wenjie (2022) — Online Ridesharing with Meeting Points
• Wang Shen; Ding Fang; Wang Yinhai; Zhang Lei (2025) — Network-based pick-up and drop-off location optimization for
• Wang Yao; Liu Zhiyuan; Chow Joseph Y.J. (2025) — Promoting carpooling on car-hailing platforms: Order allocat
• Wang Yao; Monchambert Guillaume (2026) — Does subsidy increase the use of carpooling via platforms? T
• Wang Chen (2025) — HRSim: An agent-based simulation platform for high-capacity
• Yajing Wang (2026) — Does subsidy increase the use of carpooling via platforms? T
• Xiaoyan Wang (2026) — Sharing Economy in the Era of Full Automation: Evidence from
• Wei Bangyang; Zhang Xiang; Liu Wei; Saberi Meead; Waller S. Travis (2022) — Capacity allocation and tolling-rewarding schemes for the mo
• Wei Zhou (2025) — Integrated operation and charging controls for ride-sharing
• Weiping Xu (2025) — The multimodal dynamics of ride-pooling and metro: Spatial-t
• Wu Jiyan; Tian Ye; Sun Jian (2023) — Managing ridesharing with incentives in a bottleneck model
• Xiao Ling-Ling; Liu Tian-Liang; Huang Hai-Jun; Liu Ronghui (2021) — Temporal-spatial allocation of bottleneck capacity for manag
• Xiaoyan Wang (2026) — Sharing Economy in the Era of Full Automation: Evidence from
• Xinling Li (2025) — Reproducibility in the Control of Autonomous Mobility-on-Dem
• Xinling Li (2025) — Robo-Taxi Fleet Coordination with Accelerated High-Capacity
• Xinling Li (2025) — Robust Vehicle Rebalancing with Deep Uncertainty in Autonomo
• Weiping Xu (2025) — The multimodal dynamics of ride-pooling and metro: Spatial-t
• Y. Li (2026) — Joint Design of Unidirectional Dedicated Lanes and Multi-Dep
• Yajing Wang (2026) — Does subsidy increase the use of carpooling via platforms? T
• Yaling Zhao (2025) — Optimizing Matching for On-Demand Ride-Pooling with Stochast
• Yan Julia; Martin Sébastien; Taylor Sean J. (2025) — Trading Flexibility for Adoption: From Dynamic to Static Wal
• Rui Yan (2025) — Promoting carpooling on car-hailing platforms: Order allocat
• Li Yang (2026) — Ride-Hailing Order Dispatching Based on Multi-Agent Reinforc
• Yao R.; Bekhor S. (2024) — A ridesharing simulation model that considers dynamic supply
• Yao Rui; Bekhor Shlomo (2023) — A general equilibrium model for multi-passenger ridesharing
• Yi X.; Lian F.; Yang Z. (2022) — Research on commuters’ carpooling behavior in the mobile int
• Yifan Shen (2026) — On-Trip Matching and Pricing for Shared Rides
• Yixuan Bao (2026) — Optimal Design of a Hub-and-Spoke Transit Network with Auton
• Yuqian Lin (2025) — Exploring influential factors of fleet and parking managemen
• Yuval Efron (2025) — A Simple Algorithm for Dynamic Carpooling with Recourse
• Matthew Zalesak (2025) — Ride-pool Assignment Algorithms: Modern Implementation and S
• Zeng Tao; Li Xinwei; Ke Jintao; Yang Hai (2023) — Integrated design framework for on-demand transit system bas
• Zhang Anchi; Nisa Claudia (2026) — Promoting carpooling in ride-hailing services with motivatio
• Zhang J.; Liu Y.; Wang W.; Chen X. (2025) — On solving the suburban commuting problem in megacities: Int
• Zhang Jing; Liu Hongping; Chen Peng; Wang Jiahui (2023) — Driver-rider matching and route optimization in carpooling s
• Zhang (2025) — Dynamic Preference-based Multi-modal Trip Planning of Public
• Anchi Zhang (2026) — Promoting carpooling in ride-hailing services with motivatio
• Zhao Chuan; Sun Yiran; Ding Jiahui; Wang Kun (2026) — The optimal government policy towards carpooling market: A d
• Zijian Zhao (2025) — One Step is Enough: Multi-Agent Reinforcement Learning based
• Yaling Zhao (2025) — Optimizing Matching for On-Demand Ride-Pooling with Stochast
• Chuan Zhao (2026) — The optimal government policy towards carpooling market: A d
• Zhong Lin; Zhang Kenan; Nie Yu; Xu Jiuping (2020) — Dynamic carpool in morning commute: Role of high-occupancy-v
• Zhou Z.; Agriestic S.; Roncoli C. (2026) — Simulation-based assessment of operational ridesharing strat
• Wei Zhou (2025) — Integrated operation and charging controls for ride-sharing
• Zijian Zhao (2025) — One Step is Enough: Multi-Agent Reinforcement Learning based
• Zuhayer Mahtab et al. (2025) — The ridesharing routing problem with flexible pickup and dro
• Zwick Felix; Axhausen Kay W. (2022) — Ride-pooling demand prediction: A spatiotemporal assessment