Reducing urban traffic congestion due to localized routing decisions
Physics and Society
2020-09-09 v2 Optimization and Control
Abstract
Balancing traffic flow by influencing drivers' route choices to alleviate congestion is becoming increasingly more appealing in urban traffic planning. Here, we introduce a discrete dynamical model comprising users who make their own routing choices on the basis of local information and those who consider routing advice based on localized inducement. We identify the formation of traffic patterns, develop a scalable optimization method for identifying control values used for user guidance, and test the effectiveness of these measures on synthetic and real-world road networks.
Keywords
Cite
@article{arxiv.2002.10298,
title = {Reducing urban traffic congestion due to localized routing decisions},
author = {Bo Li and David Saad and Andrey Y. Lokhov},
journal= {arXiv preprint arXiv:2002.10298},
year = {2020}
}