Smart City Gnosys

Smart city article details

Title	Optimizing Vehicle-Passenger Matching For Online Ride-Hailing With Vehicular Crowd-Sensing
ID_Doc	40944
Authors	Meng D.; Han K.
Year	2023
Published	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
DOI	http://dx.doi.org/10.1109/ITSC57777.2023.10421932
Abstract	Vehicular crowd-sensing (VCS) has become a widely adopted approach in smart city applications, with online ride-hailing system as a promising carrier. However, the spatially unbalanced demand of online ride-hailing services makes it challenging to collect urban information comprehensively. This paper explores the potential of vehicle-passenger matching strategy in VCS based on online ride-hailing. We propose a mixed-integer programming model that considers two factors: the total sensing coverage of the fleet and drivers' income. With a limited monetary incentive budget, the model can improve the spatial-temporal coverage of VCS by matching suitable passengers or providing targeted cruising directions for idle vehicles. To validate the effectiveness of the matching strategy, we conduct simulation tests based on two demand scenarios with different passenger distributions. Compared to an income-maximizing greedy algorithm as benchmark, the proposed method improves the sensing coverage by up to 13.3%, at a minor cost to the drivers' income, by up to 1.6%. The mixed-integer programming approach is also compared to a coverage-maximizing greedy heuristic, with coverage improvement by up to 5.8%. A sensitivity analysis is conducted for different penetration rates of the sensors, which reveals a general trend of both objectives that can be used to inform decision making on sensor investment. The proposed methods and results offer insights into the sensing potential of ride-hailing fleets. © 2023 IEEE.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
31074	0.897	Xu, SS; Chen, XL; Pi, XD; Joe-Wong, C; Zhang, P; Noh, HY	Incentivizing Large-Scale Vehicular Crowdsensing System For Smart City Applications	SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2019, 10970 (2019)
58452	0.887	Di Martino S.; Starace L.L.L.	Towards Uniform Urban Map Coverage In Vehicular Crowd-Sensing: A Decentralized Incentivization Solution	IEEE Open Journal of Intelligent Transportation Systems, 3 (2022)
1995	0.882	Sun Y.; Mu C.; Sun J.; He Y.	A Greedy Algorithm-Based Approach For Dynamic Carpooling Matching And Route Selection In Ride-Hailing	Proceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023 (2023)
10605	0.876	Chen X.; Xu S.; Fu H.; Joe-Wong C.; Zhang L.; Noh H.Y.; Zhang P.	Asc: Actuation System For City-Wide Crowdsensing With Ride-Sharing Vehicular Platform	SCOPE 2019 - Proceedings of the 2019 International Science of Smart City Operations and Platforms Engineering (2019)
11485	0.861	Ebrahimi D.; Patankar S.; Shekhda V.; Alzhouri F.	Autonomous Ride-Hailing Services: A Scalable Heuristic Approach For Efficient Transportation	Canadian Conference on Electrical and Computer Engineering (2024)
21383	0.861	Ramezani M.; Valadkhani A.H.	Dynamic Ride-Sourcing Systems For City-Scale Networks - Part I: Matching Design And Model Formulation And Validation	Transportation Research Part C: Emerging Technologies, 152 (2023)
34948	0.854	Gao J.; Li X.; Wang C.; Huang X.	Learning-Based Open Driver Guidance And Rebalancing For Reducing Riders' Wait Time In Ride-Hailing Platforms	2020 IEEE International Smart Cities Conference, ISC2 2020 (2020)
46636	0.854	Seng K.P.; Ang L.-M.; Ngharamike E.; Peter E.	Ridesharing And Crowdsourcing For Smart Cities: Technologies, Paradigms And Use Cases	IEEE Access, 11 (2023)
13345	0.853	Rao B.; Zhang X.; Zhu T.; You Y.; Li Y.; Duan J.; Zhou Z.; Chen X.	Can You Do Both? Balancing Order Serving And Crowdsensing For Ride-Hailing Vehicles	IEEE International Workshop on Quality of Service, IWQoS (2024)
60990	0.851	Yu T.-Y.; Zhu X.; Maheswaran M.	Vehicular Crowdsensing For Smart Cities	Handbook of Smart Cities: Software Services and Cyber Infrastructure (2018)