Assessing the Impacts of Dedicated Bus Lanes on Urban Traffic Congestion and Modal Split with an Agent-Based Model

Golan Ben-Dor, Eran Ben-Elia, Itzhak Benenson

Research output: Contribution to journalConference articlepeer-review

Abstract

Dedicated Bus Lanes (DBLs) have the potential to significantly improve the performance of bus services while encouraging mode switch from private cars to Public Transport (PT), reduce travel times and relieve urban congestion. We present MATSim simulations that assess the impact of DBLs on urban road traffic, focusing on the transportation network of the city of Sioux Falls and comparing the effects of adding a DBL vs. converting one of the lanes into a DBL, for each link that is exploited by PT. The DBLs result in essential changes to the modal split and preserves travel time of the PT users at off-peak levels. MATSim's inherent ability to represent individual travelers' adaptation to the changing travel opportunities demonstrates high effectiveness of the DBLs in cities where the level of congestion is high or very high and quantitatively estimates their qualitative effects. The model will be further applied for establishing the network of the DBLs in the highly congested Tel-Aviv metropolitan area, where, historically, most of the PT lines share the same road space with the rest of the traffic.

Original languageEnglish
Pages (from-to)824-829
Number of pages6
JournalProcedia Computer Science
Volume130
DOIs
StatePublished - 2018
Event9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018 - Porto, Indonesia
Duration: 8 May 201811 May 2018

Keywords

  • Agent-Based simulation
  • Congestion
  • Dedicated Bus Lanes
  • MATSim
  • Mode choice
  • Peak hours
  • Public Transport

Fingerprint

Dive into the research topics of 'Assessing the Impacts of Dedicated Bus Lanes on Urban Traffic Congestion and Modal Split with an Agent-Based Model'. Together they form a unique fingerprint.

Cite this