Investigating the feasibility of improving strategic road network management algorithms in England

Jill Hayden, Peter Kirby, A Fisher, Olivier Haas

Research output: Contribution to conferencePaper

Abstract

Highways England uses two algorithms to manage traffic on its network: queue protection (QP) to improve safety and congestion management (CM) to improve capacity. It is investing in large programmes to substantially improve network conditions on the strategic road network; this study aimed to consider whether the functionality of the SM algorithms can be delivered in a more efficient or effective way, to increase the benefits of these programmes. The key objective is to improve the experience of road users, by reducing congestion and providing more effective signals and information. Other potential benefits include cost savings, improved safety and reduced emissions. The study considered the use of alternative data sources, modifications to the existing algorithms and entirely new algorithms which could bring improvements to network safety and capacity and reduce operating costs. It found strong potential to improve performance and a strong case for further investment.
Original languageEnglish
Number of pages9
Publication statusPublished - 1 Oct 2018
Event25th Intelligent Transportation Systems World Congress - Copenhagen, Denmark
Duration: 17 Sep 201821 Sep 2018
https://itsworldcongress.com/

Conference

Conference25th Intelligent Transportation Systems World Congress
Abbreviated title25th ITS World Congress
CountryDenmark
CityCopenhagen
Period17/09/1821/09/18
Internet address

Keywords

  • Smart motorways, road network management, road user experience, floating vehicle data

Fingerprint Dive into the research topics of 'Investigating the feasibility of improving strategic road network management algorithms in England'. Together they form a unique fingerprint.

  • Cite this

    Hayden, J., Kirby, P., Fisher, A., & Haas, O. (2018). Investigating the feasibility of improving strategic road network management algorithms in England. Paper presented at 25th Intelligent Transportation Systems World Congress, Copenhagen, Denmark.