A survey of traffic prediction: from spatio-temporal data to intelligent transportation

H Yuan, G Li - Data Science and Engineering, 2021 - Springer
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

Ridesourcing systems: A framework and review

H Wang, H Yang - Transportation Research Part B: Methodological, 2019 - Elsevier
With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

Large-scale order dispatch in on-demand ride-hailing platforms: A learning and planning approach

Z Xu, Z Li, Q Guan, D Zhang, Q Li, J Nan, C Liu… - Proceedings of the 24th …, 2018 - dl.acm.org
We present a novel order dispatch algorithm in large-scale on-demand ride-hailing
platforms. While traditional order dispatch approaches usually focus on immediate customer …

Efficient ridesharing order dispatching with mean field multi-agent reinforcement learning

M Li, Z Qin, Y Jiao, Y Yang, J Wang, C Wang… - The world wide web …, 2019 - dl.acm.org
A fundamental question in any peer-to-peer ridesharing system is how to, both effectively
and efficiently, dispatch user's ride requests to the right driver in real time. Traditional rule …

[HTML][HTML] On the inefficiency of ride-sourcing services towards urban congestion

CV Beojone, N Geroliminis - Transportation research part C: emerging …, 2021 - Elsevier
The advent of shared-economy and smartphones made on-demand transportation services
possible, which created additional opportunities, but also more complexity to urban mobility …

Urban computing: concepts, methodologies, and applications

Y Zheng, L Capra, O Wolfson, H Yang - ACM Transactions on Intelligent …, 2014 - dl.acm.org
Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

Optimization for dynamic ride-sharing: A review

N Agatz, A Erera, M Savelsbergh, X Wang - European Journal of …, 2012 - Elsevier
Dynamic ride-share systems aim to bring together travelers with similar itineraries and time
schedules on short-notice. These systems may provide significant societal and …

A taxi order dispatch model based on combinatorial optimization

L Zhang, T Hu, Y Min, G Wu, J Zhang, P Feng… - Proceedings of the 23rd …, 2017 - dl.acm.org
Taxi-booking apps have been very popular all over the world as they provide convenience
such as fast response time to the users. The key component of a taxi-booking app is the …

T-finder: A recommender system for finding passengers and vacant taxis

NJ Yuan, Y Zheng, L Zhang… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a recommender system for both taxi drivers and people expecting to
take a taxi, using the knowledge of 1) passengers' mobility patterns and 2) taxi drivers' …

Deeppool: Distributed model-free algorithm for ride-sharing using deep reinforcement learning

AO Al-Abbasi, A Ghosh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The success of modern ride-sharing platforms crucially depends on the profit of the ride-
sharing fleet operating companies, and how efficiently the resources are managed. Further …