Integration of Dynamic Road Condition Updates for Real-Time Ridesharing Systems
Real-time ridesharing systems have been investigated as a potential method for improving congestions in overloaded road networks. In this paper, we specifically investigate integrating dynamic road conditions (DRCs) such as traffic accidents into the ridesharing systems, as the DRCs will cause unexpected delays during the route planning phase. We propose to use the CRP framework due to its capability of handling frequent road edge updates, and we will discuss the relevant issues on traffic data preprocessing, time conflict detection on ridesharing schedules, and the importance of utilizing a probability traffic model based on historical data. Our preliminary experiments show the impressive efficiency of CRP on DRC updates of varying batch sizes and distributions.
J. Hargrave et al., "Integration of Dynamic Road Condition Updates for Real-Time Ridesharing Systems," Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (2017, Orlando, FL), pp. 585-589, Institute of Electrical and Electronics Engineers (IEEE), Oct 2017.
The definitive version is available at https://doi.org/10.1109/MASS.2017.94
14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 (2017: Oct. 22-25, Orlando, FL)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
Dynamic road conditions; Ridesharing systems; Roads and streets; Transportation, Conflict detection; Historical data; Potential methods; Ride-sharing; Road condition; Road network; Route planning; Traffic model, Real time systems
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Oct 2017