Traffic signal optimisation in disrupted networks with re-routing

Dana Abudayyeh, Dong Ngoduy, Alan Nicholson

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

4 Citations (Scopus)

Abstract

This paper describes a modified bi-level framework to simulate disruptive events in urban road networks with different levels of disruption severity and duration. This framework combines the Cross Entropy method to optimise traffic signals and the quasi-dynamic user equilibrium assignment model embedded in SATURN software package. This enables simulation of short-term closures with less computational effort and running time than fully dynamic models. We have applied this model to the Cambridge (UK) network and demonstrated how the degradation at one node affects the optimal signal settings at that node and nearby nodes. The computational results show that for different disruption severities, as traffic starts to divert to other routes, the optimal traffic signal settings changes, to minimise the travel time.

Original languageEnglish
Title of host publicationInternational Symposium of Transport Simulation (ISTS’18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS’18) Emerging Transport Technologies for Next Generation Mobility
Pages195-202
Number of pages8
Volume34
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventInternational Symposium of Transport Simulation and International Workshop on Traffic Data Collection and its Standardization 2018 - Matsuyama, Japan
Duration: 6 Aug 20188 Aug 2018
http://ists18.cee.ehime-u.ac.jp/

Publication series

NameTransportation Research Procedia
PublisherElsevier BV
ISSN (Print)2352-1457

Conference

ConferenceInternational Symposium of Transport Simulation and International Workshop on Traffic Data Collection and its Standardization 2018
Abbreviated titleISTS/IWTDCS 2018
CountryJapan
CityMatsuyama
Period6/08/188/08/18
Internet address

Keywords

  • Cross Entropy method
  • Disrupted road network
  • network reliability
  • quasi -dynamic
  • resilience
  • traffic signal optimisation

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