Decentralized Optimization of Vehicle Route Planning—A Cross-City Comparative Study | IEEE Journals & Magazine | IEEE Xplore

Decentralized Optimization of Vehicle Route Planning—A Cross-City Comparative Study


Abstract:

The introduction of connected and autonomous vehicles enables new possibilities in vehicle routing: Knowing the origin and destination of each vehicle in the network can ...Show More

Abstract:

The introduction of connected and autonomous vehicles enables new possibilities in vehicle routing: Knowing the origin and destination of each vehicle in the network can allow for coordinated real-time routing of the vehicles to optimize network performance. However, this relies on individual vehicles being “altruistic,” i.e., willing to accept alternative less-preferred routes. We conduct a study to compare different levels of agent altruism in decentralized vehicles coordination and the effect on the network-level traffic performance. This work introduces novel load-balancing scenarios of traffic flow in real-world cities for varied levels of agent altruism. We show evidence that the new decentralized optimization router is more effective with networks of high load.
Published in: IEEE Internet Computing ( Volume: 25, Issue: 3, 01 May-June 2021)
Page(s): 34 - 42
Date of Publication: 15 February 2021

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