Collaboration and shared plans in the open world: studies of ridesharing
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Evolutionary multiobjective route planning in dynamic multi-hop ridesharing
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
A mechanism for dynamic ride sharing based on parallel auctions
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Hi-index | 0.00 |
Ridesharing services have the potential to fill empty seats in cars, reduce emissions and enable more efficient transportation. We propose rideshare services which transfer passengers between multiple drivers. By planning for transfers, we increase the availability and range of the rideshare service, and reduce the total vehicular miles travelled by the network. We propose three heuristics to schedule rideshare routes with transfers. Each provides a tradeoff in effectiveness and computational cost. We demonstrate these tradeoffs and the advantage of transfers in simulation.