A two-level urban traffic control for autonomous vehicles to improve network-wide performance

Tettamanti, Tamas, Mohammadi, Arash, Asadi, Houshyar and Varga, Istvan 2017, A two-level urban traffic control for autonomous vehicles to improve network-wide performance, Transportation research procedia, vol. 27, pp. 913-920, doi: 10.1016/j.trpro.2017.12.160.

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Title A two-level urban traffic control for autonomous vehicles to improve network-wide performance
Author(s) Tettamanti, Tamas
Mohammadi, ArashORCID iD for Mohammadi, Arash orcid.org/0000-0001-7634-8212
Asadi, HoushyarORCID iD for Asadi, Houshyar orcid.org/0000-0002-3620-8693
Varga, Istvan
Journal name Transportation research procedia
Volume number 27
Start page 913
End page 920
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017
ISSN 2352-1457
2352-1465
Keyword(s) Science & Technology
Technology
Transportation
Transportation Science & Technology
driverless vehicle
autonomous intersection
traffic control
nonlinear model predictive control
Summary © 2017 The Authors. Published by Elsevier B.V. In the near future, autonomous vehicles will face with new challenges in several fields. One of the most exciting changes will be represented by the network-wide optimal traffic control. When driverless vehicles take over the road, classical road signalization schemes will become superfluous. Accordingly, the paper's aim is to propose a control design methodology for autonomous vehicles in urban traffic network by considering the network-wide performance. The proposed two-level control strategy solves a tractable optimization problem for a network wide traffic control. On the one hand, a local intersection controller is designed which ensures safe crossings of vehicles and aims to reduce traffic emission in the junction area. On the other hand, the local controllers also optimize the network performance by minimizing the queues in all road links. The traffic is therefore modeled in a two-level fashion. A microscopic dynamics is considered in junctions and macroscopic model is applied for the whole traffic network. The control strategy is tested and evaluated based on microscopic traffic simulation.
Notes Part of special issue: 20th EURO Working Group on Transportation Meeting, EWGT 2017, 4-6 September 2017, Budapest, Hungary
Language eng
DOI 10.1016/j.trpro.2017.12.160
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2017, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109189

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