Integrated optimal traffic flow control enabled by speed and time-gap regulation

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


Research units


We consider the problem of integrated traffic control in the presence of connected and automated vehicles, in particular by investigating the potential of speed and time-gap regulation. Based on car-following models for semi-automated vehicles, we derive a macroscopic first-order traffic flow model that is then employed to formulate a linearly constrained convex optimal control problem. Simulation results demonstrate improvements in term of traffic efficiency that may be achieved implementing the proposed strategy, also in comparison with conventional traffic control strategies.


Original languageEnglish
Title of host publication2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Publication statusPublished - 1 Oct 2019
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Intelligent Transportation Systems - Auckland, New Zealand
Duration: 27 Oct 201930 Oct 2019


ConferenceIEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC
CountryNew Zealand

ID: 39774560