Centralised Vehicle Routing for Optimising Urban Traffic: A Scalability Perspective

Lukáš Chrpa, Mauro Vallati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


In the light of revolutionary technologies such as connected autonomous vehicles, centralised vehicle (or traffic) routing is attracting a growing interest as an effective method to tackle traffic congestion in urban areas, which causes enormous economic losses. Whereas potential benefits of centralised vehicle routing techniques are huge, they are not yet mature enough to be deployed in (large) urban areas. The major issue preventing their deployment being the lack of scalability.This position paper provides an all encompassing discussion around how the scalability issue for centralised vehicle (traffic) routing approaches might be addressed. In particular, we elaborate on how the model of the environment (the road network and the traffic) can be reasonably abstracted to allow simplified yet meaningful reasoning. Then, we provide an overview of relevant classes of decision-making techniques and elaborate how they can be applied to tackle the problem. At the end, we present our perspective on how different types of decision-making techniques can be effectively combined such that they can deal with the scalability issue while maintaining reasonable quality of assigned routes.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE Intelligent Vehicles Symposium (IV)
Number of pages6
ISBN (Electronic)9798350346916
ISBN (Print)9798350346923
Publication statusPublished - 27 Jul 2023
Event2023 IEEE intelligent vehicles symposium - Anchorage, United States
Duration: 4 Jun 20237 Jun 2023

Publication series

NameIEEE Intelligent Vehicles Symposium
ISSN (Print)1931-0587
ISSN (Electronic)2642-7214


Conference2023 IEEE intelligent vehicles symposium
Country/TerritoryUnited States
Internet address


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