A Flexible Real-Time Ridesharing System Considering Current Road Conditions
Recently, ridesharing applications, such as Uber, have gained popularity by helping riders to save money. However, current real-time ridesharing systems with time-window constraints have not yet considered the impact of real-time road conditions. In this work, we propose transferring algorithms and incentive models to enhance the flexibility of an existing large scale real-time ridesharing system. Transferring algorithms aim to transfer those users who experienced delay to other vehicles by using a pairwise bounding-box pruning technique. The incentive models avoid the use of transferring but instead compensate affected passengers with credits to maintain their satisfaction level in a different way. Extensive experiments were conducted using a real road network. Results show that our proposed algorithms and models are able to boost users' satisfaction level up to 90% under the influence of real-time road conditions.
S. Yeung et al., "A Flexible Real-Time Ridesharing System Considering Current Road Conditions," Proceedings of the 17th IEEE International Conference on Mobile Data Management (2016, Porto, Portugal), pp. 186-191, Institute of Electrical and Electronics Engineers (IEEE), Jun 2016.
The definitive version is available at https://doi.org/10.1109/MDM.2016.37
17th IEEE International Conference on Mobile Data Management, MDM 2016 (2016: Jun. 13-16, Porto, Portugal)
Intelligent Systems Center
Keywords and Phrases
Crashworthiness; Highway administration; Information management; Roads and streets; Transportation; Bounding box; Incentive models; Pruning techniques; Real road networks; Ride-sharing; Road condition; Time window constraint; Users' satisfactions; Real time systems
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International Standard Serial Number (ISSN)
Article - Conference proceedings
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