CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-Domain Urban Big Data
X Fan, C Xu, F Tang, J Qi, X Liu, L Chen, C Wang
2018 IEEE International Conference on Web Services (ICWS) | IEEE | Published : 2018
© 2018 IEEE. Existing ridesharing services have focused on on-demand trip matching, which resembles traditional taxi dispatching. This may encourage more private vehicles on the road, which aggravate traffic congestions in peak hours rather than alleviating them. We propose CommuteShare, a novel ridesharing service for daily commuters that encourages long-term ridesharing among commuters with similar commuting patterns, to increase the traffic efficiency in peak hours. We first identify commuting private vehicles (CPVs) from traffic records and model their commuting patterns. We then design a dynamic model to formulate the intention level of a CPV driver to offer a ride based on the spatio-t..View full abstract
Awarded by National Natural Science Foundation of China
Awarded by China Postdoc Foundation
Awarded by Australian Research Council
The work is supported by grants from National Natural Science Foundation of China (61300232), China Postdoc Foundation (2015M580564), and Australian Research Council (Discovery Project DP180103332).