Title
Computationally efficient dynamic assignment for on-demand ridesharing in congested networks
Abstract
On-demand ridesharing service has been recognized as an effective way to meet travel needs while significantly reducing the number of required vehicles. However, most previous studies investigating dynamic assignment for ridesharing systems overlook the effects on travel times due to the assignment of requests to vehicles and their routes. To better assign the ridesharing vehicles while considerin...
Year
DOI
Venue
2021
10.1109/MT-ITS49943.2021.9529283
2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Keywords
DocType
ISBN
Computational modeling,Transportation,Telecommunication traffic,Pricing,Companies,Control systems,Computational efficiency
Conference
978-1-7281-8995-6
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Ze Zhou100.34
Claudio Roncoli2349.65