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- research-articleOctober 2024
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementPages 5054–5061https://doi.org/10.1145/3627673.3680013Assigning orders to drivers under localized spatiotemporal context (micro-view order-dispatching) is a major task in Didi, as it influences ride-hailing service experience. Existing industrial solutions mainly follow a two-stage pattern that incorporate ...
- extended-abstractDecember 2024
On the Supply of Autonomous Vehicles in Platforms
EC '24: Proceedings of the 25th ACM Conference on Economics and ComputationPage 2https://doi.org/10.1145/3670865.3673461The likely large-scale deployment of autonomous vehicle (AV) technology in the near future has the potential to fundamentally change the transportation landscape. Due to the high cost of AV hardware, the most likely path to widespread AV use is via ...
- research-articleApril 2024
Shared-Ride Efficiency of Ride-Hailing Platforms
Manufacturing & Service Operations Management (INFORMS-MSOM), Volume 26, Issue 5Pages 1945–1961https://doi.org/10.1287/msom.2021.0545Problem definition: Ride-hailing platforms offering shared rides devote effort to reducing the trip-lengthening detours that accommodate fellow customers’ divergent transportation needs. By reducing shared-ride delay, improving shared-ride efficiency has ...
- surveyDecember 2023
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 15, Issue 1Article No.: 1, Pages 1–57https://doi.org/10.1145/3627825In recent years, ride-hailing services have emerged as a popular means of transportation for the residents of urban areas. There is an inequality in the spatio-temporal distribution of demand and supply, which requires the proper recommendation of routes ...
- research-articleSeptember 2023
Ride-Hailing Networks with Strategic Drivers: The Impact of Platform Control Capabilities on Performance
Manufacturing & Service Operations Management (INFORMS-MSOM), Volume 25, Issue 5Pages 1890–1908https://doi.org/10.1287/msom.2023.1221Problem definition: Motivated by ride-hailing platforms such as Uber, Lyft and Didi, we study the problem of matching riders with self-interested drivers over a spatial network. We focus on the performance impact of two operational platform controls—...
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- short-paperJuly 2023
A Consumer Compensation System in Ride-hailing Service
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 3240–3244https://doi.org/10.1145/3539618.3591829In the ride-hailing business, compensation is mostly used to motivate consumers to place more orders and grow the market scale. However, most of the previous studies focus on car-hailing services. Few works investigate localized smart transportation ...
- research-articleMay 2023
The Impact of Ride-Hailing Services on Congestion: Evidence from Indian Cities
Manufacturing & Service Operations Management (INFORMS-MSOM), Volume 25, Issue 3Pages 862–883https://doi.org/10.1287/msom.2022.1158Problem definition: Early research has documented significant growth in ride-hailing services worldwide and allied benefits. However, growing evidence of their negative externalities is leading to significant policy scrutiny. Despite demonstrated ...
- research-articleNovember 2022
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper)
- Jalal Khalil,
- Da Yan,
- Lyuheng Yuan,
- Mostafa Jafarzadehfadaki,
- Saugat Adhikari,
- Virginia P. Sisiopiku,
- Zhe Jiang
SIGSPATIAL '22: Proceedings of the 30th International Conference on Advances in Geographic Information SystemsArticle No.: 29, Pages 1–10https://doi.org/10.1145/3557915.3560963App-based ride-hailing services, such as Uber and Lyft, have become popular thanks to technology advancements including smartphones and 4G/5G network. However, little is known about to what degree their operations impact urban traffic since ...
- research-articleAugust 2022
Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 3950–3960https://doi.org/10.1145/3534678.3539060The ride-hailing service offered by mobility-on-demand platforms, such as Uber and Didi Chuxing, has greatly facilitated people's traveling and commuting, and become increasingly popular in recent years. Efficiency (e.g., gross merchandise volume) has ...
- research-articleMay 2022
The Heterogeneous Effects of P2P Ride-Hailing on Traffic: Evidence from Uber’s Entry in California
Transportation Science (TRNPS), Volume 56, Issue 3Pages 750–774https://doi.org/10.1287/trsc.2021.1077Despite their promise, popularity, and rapid growth, the transit implications of ride-hailing platforms (e.g., Uber, Lyft) are not altogether clear. On the one hand, ride-hailing services can provide pooling (i.e., traffic reductions) advantages by ...
- research-articleMay 2022
Transit Planning Optimization Under Ride-Hailing Competition and Traffic Congestion
Transportation Science (TRNPS), Volume 56, Issue 3Pages 725–749https://doi.org/10.1287/trsc.2021.1068With the soaring popularity of ride-hailing, the interdependence between transit ridership, ride-hailing ridership, and urban congestion motivates the following question: can public transit and ride-hailing coexist and thrive in a way that enhances the ...
- research-articleMay 2022
Dynamic Ride-Hailing with Electric Vehicles
Transportation Science (TRNPS), Volume 56, Issue 3Pages 775–794https://doi.org/10.1287/trsc.2021.1042We consider the problem of an operator controlling a fleet of electric vehicles for use in a ride-hailing service. The operator, seeking to maximize profit, must assign vehicles to requests as they arise as well as recharge and reposition vehicles in ...
- research-articleMarch 2022
Spatial Capacity Planning
We study the relationship between capacity and performance for a service firm with spatial operations, in the sense that requests arrive with origin-destination pairs. An example of such a system is a ride-hailing platform in which each customer arrives ...
- research-articleJanuary 2022
Mode choice and ride-pooling simulation: A comparison of mobiTopp, Fleetpy, and MATSim
- Felix Zwick,
- Gabriel Wilkes,
- Roman Engelhardt,
- Steffen Axer,
- Florian Dandl,
- Hannes Rewald,
- Nadine Kostorz,
- Eva Fraedrich,
- Martin Kagerbauer,
- Kay W. Axhausen
Procedia Computer Science (PROCS), Volume 201, Issue CPages 608–613https://doi.org/10.1016/j.procs.2022.03.079AbstractOn-demand ride-pooling systems have gained a lot of attraction in the past years as they promise to reduce traffic and vehicle fleets compared to private vehicles. Transport simulations show that automation of vehicles and resulting fare ...
- research-articleJanuary 2022
Social media in marketing of ride-hailing: A systematic literature review
Procedia Computer Science (PROCS), Volume 197, Issue CPages 102–109https://doi.org/10.1016/j.procs.2021.12.123AbstractSocial media creates digital communication channels to interact with customers and needed attention to the broadening understanding of marketing. This study aims to examine the social media marketing of ride-hailing during the covid-19 pandemic. ...
- abstractJuly 2020
Minimum Earnings Regulation and the Stability of Marketplaces
EC '20: Proceedings of the 21st ACM Conference on Economics and ComputationPage 293https://doi.org/10.1145/3391403.3399462We build a model to study the implications of utilization-based minimum earning regulations of the kind recently enacted by New York City for its ride-hailing providers. We identify the precise conditions under which a utilization-based minimum earnings ...
- research-articleMay 2020
Cloaking Region Based Passenger Privacy Protection in Ride-Hailing Systems
Journal of Computer Science and Technology (JCST), Volume 35, Issue 3Pages 629–646https://doi.org/10.1007/s11390-020-0256-1AbstractWith the quick development of the sharing economy, ride-hailing services have been increasingly popular worldwide. Although the service provides convenience for users, one concern from the public is whether the location privacy of passengers would ...
- research-articleApril 2020
Examining the Heterogeneous Impact of Ride-Hailing Services on Public Transit Use
Information Systems Research (INFORMS-ISR), Volume 31, Issue 3Pages 820–834https://doi.org/10.1287/isre.2019.0917Practice or Policy Abstract
Over the past 10 years, app-enabled ride-hailing services such as Uber and Lyft have permeated several geographies, fundamentally changing the transit landscape. Ride-hailing services deliver an on-demand, door-to-door transport service that has the ...
We examine the impact that ride-hailing services have had on the demand for different modes of public transit in the United States, with a particular focus on understanding heterogeneity in the effects. We assess these effects using a panel data set that ...
- research-articleNovember 2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
- Jiarui Jin,
- Ming Zhou,
- Weinan Zhang,
- Minne Li,
- Zilong Guo,
- Zhiwei Qin,
- Yan Jiao,
- Xiaocheng Tang,
- Chenxi Wang,
- Jun Wang,
- Guobin Wu,
- Jieping Ye
CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge ManagementPages 1983–1992https://doi.org/10.1145/3357384.3357978How to optimally dispatch orders to vehicles and how to trade off between immediate and future returns are fundamental questions for a typical ride-hailing platform. We model ride-hailing as a large-scale parallel ranking problem and study the joint ...
- research-articleNovember 2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge ManagementPages 2645–2653https://doi.org/10.1145/3357384.3357799Improving the efficiency of dispatching orders to vehicles is a research hotspot in online ride-hailing systems. Most of the existing solutions for order-dispatching are centralized controlling, which require to consider all possible matches between ...