The DOI matches its Crossref record; 56 of the 57 references it cites were found in a registry or an index.
Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, Rossi et al. (2018) show that it is possible to route empty vehicles without substantial increase in congestion.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Rossi et al., 2018
Citations
Cites
A Formal Basis for the Heuristic Determination of Minimum Cost Paths
Hart, P., Nilsson, N., & Raphael, B. (1968) · IEEE Transactions on Systems Science and Cybernetics · doi:10.1109/tssc.1968.300136 · Cited by 12,738
Network Flows: Theory, Algorithms, and Applications.
Smith, D. K., Ahuja, R. K., Magnanti, T. L., & Orlin, J. B. (1994) · Journal of the Operational Research Society · doi:10.2307/2583863 · Cited by 8,121
A new polynomial-time algorithm for linear programming
Karmarkar, N. K. (1984) · COMBINATORICA · doi:10.1007/bf02579150 · Cited by 4,927
On kinematic waves II. A theory of traffic flow on long crowded roads
Lighthill, S. J., & Whitham, G. B. (1955) · Proceedings of the Royal Society of London A Mathematical and Physical Sciences · doi:10.1098/rspa.1955.0089 · Cited by 4,606
Ford, D. R., & Fulkerson, D. R. (1962) · Cited by 4,072
ROAD PAPER. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH.
Wardrop, J. G. (1952) · Proceedings of the Institution of Civil Engineers · doi:10.1680/ipeds.1952.11259 · Cited by 3,959
OpenStreetMap: User-Generated Street Maps
Haklay, M., & Weber, P. (2008) · IEEE Pervasive Computing · doi:10.1109/mprv.2008.80 · Cited by 3,208
Daganzo, C. F. (1994) · Transportation Research Part B Methodological · doi:10.1016/0191-2615(94)90002-7 · Cited by 2,897
On kinematic waves I. Flood movement in long rivers
Lighthill, S. J., & Whitham, G. B. (1955) · Proceedings of the Royal Society of London A Mathematical and Physical Sciences · doi:10.1098/rspa.1955.0088 · Cited by 1,631
Sarker, B. R. (1991) · European Journal of Operational Research · doi:10.1016/0377-2217(91)90179-y · Cited by 1,292
Cited by
Sorted by citations
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691
Šarc, R., Curtis, A., Kandlbauer, L., Khodier, K., Lorber, K. E., & Pomberger, R. (2019) · Waste Management · doi:10.1016/j.wasman.2019.06.035 · Cited by 474
Autonomous vehicles in 5G and beyond: A survey
Hakak, S., Gadekallu, T. R., Maddikunta, P. K. R., Ramu, S. P., Parimala, M., de Alwis, C., & Liyanage, M. (2022) · Vehicular Communications · doi:10.1016/j.vehcom.2022.100551 · Cited by 251
Sadaf, M., Iqbal, Z., Javed, A. R., Saba, I., Krichen, M., Majeed, S., & Raza, A. (2023) · Technologies · doi:10.3390/technologies11050117 · Cited by 223
Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications
Bertsimas, D., Jaillet, P., & Martin, S. (2019) · Operations Research · doi:10.1287/opre.2018.1763 · Cited by 212
Transit-oriented autonomous vehicle operation with integrated demand-supply interaction
Wen, J., Chen, Y. X., Nassir, N., & Zhao, J. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.10.018 · Cited by 142
City-wide shared taxis: A simulation study in Berlin
Bischoff, J., Maciejewski, M., & Nagel, K. (2017) · 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2017.8317926 · Cited by 136
Mohtashami, Z., Aghsami, A., & Jolai, F. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118452 · Cited by 134
Regulating TNCs: Should Uber and Lyft set their own rules?
Li, S., Tavafoghi, H., Poolla, K. R., & Varaiya, P. P. (2019) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2019.09.008 · Cited by 130
Rossi, F., Iglesias, R., Alizadeh, M., & Pavone, M. (2018) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2019.2923384 · Cited by 126
Self-citationAutonomous vessels: state of the art and potential opportunities in logistics
Gu, Y., Góez, J. C., Guajardo, M., & Wallace, S. W. (2020) · International Transactions in Operational Research · doi:10.1111/itor.12785 · Cited by 125
Analysis and Control of Autonomous Mobility-on-Demand Systems
Zardini, G., Lanzetti, N., Pavone, M., & Frazzoli, E. (2021) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-042920-012811 · Cited by 114
Self-citationDynamic pricing and fleet management for electric autonomous mobility on demand systems
Turan, B., Pedarsani, R., & Alizadeh, M. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102829 · Cited by 108
On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems
Salazar, M., Rossi, F., Schiffer, M., Onder, C. H., & Pavone, M. (2018) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2018.8569381 · Cited by 105
Self-citationA BCMP network approach to modeling and controlling autonomous mobility-on-demand systems
Iglesias, R., Rossi, F., Zhang, R., & Pavone, M. (2018) · The International Journal of Robotics Research · doi:10.1177/0278364918780335 · Cited by 100
Self-citationReview of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy
Rossi, F., Bandyopadhyay, S., Wolf, M. T., & Pavone, M. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.07.097 · Cited by 99
Self-citationCompetition between shared autonomous vehicles and public transit: A case study in Singapore
Mo, B., Cao, Z., Zhang, H., Shen, Y., & Zhao, J. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103058 · Cited by 97
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems
Zhao, L., & Malikopoulos, A. A. (2022) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2019.2953526 · Cited by 93
Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System
Lü, Y., Liang, Y., Ding, Z., Wu, Q., Ding, T., & Lee, W. (2021) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2021.3131804 · Cited by 84
Intermodal Autonomous Mobility-on-Demand
Salazar, M., Lanzetti, N., Rossi, F., Schiffer, M., & Pavone, M. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2950720 · Cited by 83
Self-citationA Centralized Route-Management Solution for Autonomous Vehicles in Urban Areas
Zambrano-Martinez, J. L., Calafate, C. T., Soler, D., Lemus-Zúñiga, L.-G., Cano, J.-C., Manzoni, P., & Gayraud, T. (2019) · Electronics · doi:10.3390/electronics8070722 · Cited by 80
Two-stage stochastic approximation for dynamic rebalancing of shared mobility systems
Warrington, J., & Ruchti, D. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.04.021 · Cited by 79
Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems
Tsao, M., Milojevic, D., Ruch, C., Salazar, M., Frazzoli, E., & Pavone, M. (2019) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2019.8794194 · Cited by 74
Self-citationSarker, A., Shen, H., & Stankovic, J. A. (2018) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3161408 · Cited by 70
A review on sustainable urban vehicle routing
Dündar, H., Ömürgönülşen, M., & Soysal, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125444 · Cited by 69
Zulkarnain, Z., & Putri, T. D. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e08615 · Cited by 68
Parking infrastructure design for repositioning autonomous vehicles
Levin, M. W., Wong, E., Nault-Maurer, B., & Khani, A. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102838 · Cited by 66
Integrated Operation Model for Autonomous Mobility-on-Demand Fleet and Battery Swapping Station
Ding, Z., Tan, W., Lee, W., Pan, X., & Gao, S. (2021) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2021.3110938 · Cited by 65
Impact of Transportation Electrification on the Electricity Grid—A Review
Bayani, R., Soofi, A. F., Waseem, M., & Manshadi, S. D. (2022) · Vehicles · doi:10.3390/vehicles4040056 · Cited by 63
Mehlawat, M. K., Gupta, P., Khaitan, A., & Pedrycz, W. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2946110 · Cited by 61
Estandia, A., Schiffer, M., Rossi, F., Luke, J., Kara, E. C., Rajagopal, R., & Pavone, M. (2021) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2021.3059225 · Cited by 61
Self-citationRouting and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic
Wollenstein-Betech, S., Salazar, M., Houshmand, A., Pavone, M., Paschalidis, I. C., & Cassandras, C. G. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3112106 · Cited by 60
Self-citationA Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems
Salazar, M., Tsao, M., Aguiar, I., Schiffer, M., & Pavone, M. (2019) · European Control Conference (ECC) · doi:10.23919/ecc.2019.8795897 · Cited by 54
Self-citationMorlock, F., Rolle, B., Bauer, M., & Sawodny, O. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2949053 · Cited by 49
Maximum-stability dispatch policy for shared autonomous vehicles
Kang, D., & Levin, M. W. (2021) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2021.04.011 · Cited by 48
Joint routing and pricing control in congested mixed autonomy networks
Mansourianfar, M., Gu, Z., Waller, S. T., & Saberi, M. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103338 · Cited by 48
Liu, J., Mirchandani, P. B., & Zhou, X. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102675 · Cited by 47
Iranmanesh, M., Ghobakhloo, M., Foroughi, B., Nilashi, M., & Yadegaridehkordi, E. (2023) · Information Technology and People · doi:10.1108/itp-11-2022-0825 · Cited by 45
Vehicle Rebalancing With Charging Scheduling in One-Way Car-Sharing Systems
Guo, G., & Xu, T. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3043594 · Cited by 43
Ding, Z., Tan, W., Lu, W., & Lee, W. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3172985 · Cited by 40
A Decentralized and Coordinated Routing Algorithm for Connected and Autonomous Vehicles
Mostafizi, A., Koll, C., & Wang, H. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3105057 · Cited by 39
Yang, J., Levin, M. W., Hu, L., Li, H., & Jiang, Y. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104172 · Cited by 38
Routing for Traffic Networks With Mixed Autonomy
Lazar, D. A., Coogan, S., & Pedarsani, R. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.3020059 · Cited by 36
Review of shared online hailing and autonomous taxi services
Zeng, W., Wu, M., Chen, P., Cao, Z., & Xie, S. (2022) · Transportmetrica B Transport Dynamics · doi:10.1080/21680566.2022.2092231 · Cited by 36
The Impact of Ridesharing in Mobility-on-Demand Systems: Simulation Case Study in Prague
Fiedler, D., Čertický, M., Alonso–Mora, J., & Čáp, M. (2018) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2018.8569451 · Cited by 34
Anticipatory rebalancing of RoboTaxi systems
Tavor, S., & Raviv, T. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104196 · Cited by 33
Cooperative Learning for Smart Charging of Shared Autonomous Vehicle Fleets
Ahadi, R., Ketter, W., Collins, J. E., & Daina, N. (2022) · Transportation Science · doi:10.1287/trsc.2022.1187 · Cited by 32
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic
Wollenstein-Betech, S., Houshmand, A., Salazar, M., Pavone, M., Cassandras, C. G., & Paschalidis, I. C. (2020) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc45102.2020.9294258 · Cited by 30
Self-citationMulti-sensor information fusion for IoT in automated guided vehicle in smart city
Liu, J., Liu, Z., Zhang, H., Yuan, H., Manokaran, K. B., & Maheshwari, M. (2021) · Soft Computing · doi:10.1007/s00500-021-05696-3 · Cited by 29
Agent-based modeling in urban human mobility: A systematic review
Jaureguibarria, A. D., Macarulla, A. M., Garcia, J. I., & Borges, C. E. (2025) · Cities · doi:10.1016/j.cities.2024.105697 · Cited by 28
Rebalancing and Charging Scheduling With Price Incentives for Car Sharing Systems
Guo, G., & Kang, M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3157602 · Cited by 27
Beyond fifty years of vehicle routing: Insights into the history and the future
Archetti, C., Coelho, L. C., Speranza, M. G., & Vansteenwegen, P. (2025) · European Journal of Operational Research · doi:10.1016/j.ejor.2025.06.014 · Cited by 26
Chen, L., He, X., Zhao, X., Li, H., Huang, Y., Zhou, B., Chen, W., Li, Y., Wen, C., & Wang, C. (2022) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2022.3198089 · Cited by 26
Simulation-based design and analysis of on-demand mobility services
Markov, I., Guglielmetti, R., Laumanns, M., Fernández-Antolín, A., & de Souza, R. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.01.004 · Cited by 25
A robust deep reinforcement learning approach to driverless taxi dispatching under uncertain demand
Zhou, X., Wu, L., Zhang, Y., Chen, Z., & Jiang, S. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119401 · Cited by 24
Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems
Wollenstein-Betech, S., Paschalidis, I. C., & Cassandras, C. G. (2020) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc42340.2020.9304517 · Cited by 23
A multiagent framework for learning dynamic traffic management strategies
Chung, J. J., Rebhuhn, C., Yates, C., Hollinger, G. A., & Tumer, K. (2018) · Autonomous Robots · doi:10.1007/s10514-018-9800-z · Cited by 22
Li, S., Egorov, M., & Kochenderfer, M. J. (2020) · AIAA AVIATION Forum · doi:10.2514/6.2020-2907 · Cited by 21
Levin, M. W. (2022) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2022.07.003 · Cited by 20
Sun, Y., Ding, Z., Hu, Z., & Lee, W. (2023) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2023.3237574 · Cited by 20
Sheng, Y., Lin, Y., Zeng, H., Yang, Y., Guo, Q., & Xie, S. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104755 · Cited by 20
Davis, L. C. (2017) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2017.02.030 · Cited by 18
Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlasPreprint
Rossi, F., Bandyopadhyay, S., Wolf, M. T., & Pavone, M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.11067 · Cited by 20
Self-citationOn the Interplay Between Self-Driving Cars and Public Transportation
Lanzetti, N., Schiffer, M., Ostrovsky, M., & Pavone, M. (2023) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2023.3338248 · Cited by 17
Self-citationDuan, L., Wei, Y., Zhang, J., & Xia, Y. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109025 · Cited by 16
Performance Evaluation of Station-Based Autonomous On-Demand Car-Sharing Systems
Javanshour, F., Dia, H., Duncan, G., Abduljabbar, R. L., & Liyanage, S. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3071869 · Cited by 17
Vehicle/Employee Rebalancing and Charging Scheduling in One-Way Car Sharing Systems
Guo, G., Kang, M., & Sun, T. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3274518 · Cited by 16
Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization
Solovey, K., Salazar, M., & Pavone, M. (2019) · Robotics: Science and Systems · doi:10.15607/rss.2019.xv.066 · Cited by 16
Self-citationElectric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation
Paparella, F., Hofman, T., & Salazar, M. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3428569 · Cited by 15
Wang, N., & Guo, J. (2021) · Journal of Advanced Transportation · doi:10.1155/2021/1368286 · Cited by 16
Mansourianfar, M., Gu, Z., & Saberi, M. (2022) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2022.103760 · Cited by 15
Smart Charging Benefits in Autonomous Mobility on Demand Systems
Turan, B., Tucker, N., & Alizadeh, M. (2019) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2019.8917278 · Cited by 15
Column generation for solving large scale multi-commodity flow problems for passenger transportation
Lienkamp, B., & Schiffer, M. (2023) · European Journal of Operational Research · doi:10.1016/j.ejor.2023.09.019 · Cited by 14
A filtering system to solve the large-scale shared autonomous vehicles Dial-a-Ride Problem
Liu, C., Quilliot, A., Toussaint, H., & Feillet, D. (2024) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2024.104551 · Cited by 14
Khemiri, R., Naija, M., & Expósito, E. (2022) · Soft Computing · doi:10.1007/s00500-022-07377-1 · Cited by 14
RetractedAalipour, A., & Khani, A. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3398562 · Cited by 13
Multi-objective vehicle rebalancing for ridehailing system using a reinforcement learning approach
Deng, Y., Chen, H., Shao, S., Tang, J., Pi, J., & Gupta, A. (2021) · Journal of Management Science and Engineering · doi:10.1016/j.jmse.2021.12.004 · Cited by 13
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem
Skordilis, E., Hou, Y., Tripp, C. E., Moniot, M., Graf, P. A., & Biagioni, D. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3108733 · Cited by 13
Solving the Ride-Sharing Productivity Paradox: Priority Dispatch and Optimal Priority Sets
Krishnan, V., Iglesias, R., Martin, S., Wang, S., Pattabhiraman, V., & Ryzin, G. J. V. (2022) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.2022.1134 · Cited by 13
Soteropoulos, A., Berger, M., & Mitteregger, M. (2021) · Sustainability · doi:10.3390/su13052732 · Cited by 13
Wang, N., & Guo, J. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e11319 · Cited by 13
A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand
Zgraggen, J., Tsao, M., Salazar, M., Schiffer, M., & Pavone, M. (2019) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2019.8917521 · Cited by 12
Self-citationAutonomous vehicle routing in multiple intersections
Lin, S., & Ho, T.-Y. (2019) · Asia and South Pacific Design Automation Conference (ASP-DAC) · doi:10.1145/3287624.3287723 · Cited by 11
Salah, I. H., Mukku, V. D., Schmidt, S., & Assmann, T. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-61075-3_25 · Cited by 11
Maximum Throughput Dispatch for Shared Autonomous Vehicles Including Vehicle Rebalancing
Robbennolt, J., & Levin, M. W. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3268158 · Cited by 10
On Mobility Equity and the Promise of Emerging Transportation Systems
Bang, H., Dave, A., Tzortzoglou, F. N., Wang, S., & Malikopoulos, A. A. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3548885 · Cited by 10
Competition in Electric Autonomous Mobility-on-Demand Systems
Turan, B., & Alizadeh, M. (2021) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2021.3100392 · Cited by 10
Adaptive dynamic surface longitudinal tracking control of autonomous vehicles
Guo, J., Luo, Y., Li, K., & Guo, L. (2019) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2018.5534 · Cited by 10
Fair Pricing of Ridehailing Services With Asymmetric Demand and Travel Time
Shao, S., Mittal, A., Twumasi-Boakye, R., & Gupta, A. (2021) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2021.3124264 · Cited by 9
Gallo, M. (2023) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2023.102838 · Cited by 9
Ray Tracing Simulations in Millimeter-Wave Vehicular Communications
Colo, B., Fouda, A., & Ibrahim, A. S. (2019) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc.2019.8904154 · Cited by 9
Paparella, F., Hofman, T., & Salazar, M. (2022) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc51059.2022.9993118 · Cited by 9
Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems
Paparella, F., Hofman, T., & Salazar, M. (2023) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc57777.2023.10421973 · Cited by 9
Martínez, D. A., Cai, J., Oke, J. B., Jarrell, A. S., Feijoo, F., Appelbaum, J., Klein, E. Y., Barnes, S., & Levin, S. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa033 · Cited by 9
Integrated shared autonomous vehicles and bus bridging service for MRT disruption management
Zhang, L., Wang, Y., & Yu, B. (2025) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2025.105236 · Cited by 8
A Time-Invariant Network Flow Model for Ride-Pooling in Mobility-on-Demand Systems
Paparella, F., Pedroso, L., Hofman, T., & Salazar, M. (2024) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2024.3431411 · Cited by 8
Selective Multi-Grade Charging Scheduling and Rebalancing for One-Way Car-Sharing Systems
Guo, G., & Sun, T. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3229383 · Cited by 8
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews
Bae, S. L., Rossi, F., Hook, J. V., Davidoff, S., & Ma, K. (2020) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast50239.2020.00008 · Cited by 8
Self-citationHe, K., Ding, H., Xu, N., & Guo, K. (2023) · World Electric Vehicle Journal · doi:10.3390/wevj14040098 · Cited by 7
On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems
Salazar, M., Giraldo, S. B., Paparella, F., & Pedroso, L. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.07.361 · Cited by 7
Metadata
- Authors
- Rossi, F., Zhang, R., Hindy, Y., & Pavone, M.
- Affiliations
- Stanford University (US)
- Corresponding author
- Rossi, Federico
- Pavone, Marco
- Venue
- Autonomous Robots
- Published
- 2018-05-04
- Volume
- 42
- Issue
- 7
- Pages
- 1427-1442
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W2963307233
- Cited by
- 153
- References
- 57
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 12 · 2023: 25 · 2022: 21 · 2021: 24 · 2020: 20 · 2019: 20 · 2018: 9
- FWCI
- 9.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Autonomous Robots (publishedVersion)
- Funders
- National Science Foundation (CMMI-1454737)
- Dr. Cleve B. Moler Stanford Graduate Fellowship
- Toyota Research Institute
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- autonomous vehicles, vehicle routing, fleet rebalancing, mobility-on-demand, network flow, coordination algorithms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review