Intersection control type effect on automated vehicle operation

Pavlos Tafidis, Ali Pirdavani, Tom Brijs, Haneen Farah

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

Professionals from various disciplines have been investing huge efforts in the last few decades in the development and deployment of connected and automated vehicles (CAVs). It is believed that CAVs can mitigate the main drawbacks of transport issues such as safety, emissions, and congestion. The main objective of this paper is to examine how intersection control types will affect the operation of automated vehicles (AVs) in urban areas. Since AVs implementation is still in its first steps and empirical data is not yet available, the microscopic traffic flow simulation software PTV Vissim was utilized. Different case studies based on commonly occurring intersection types were investigated in PTV Vissim under various AVs penetration rates. The results show that the introduction of AVs had a greater effect in the performance of uncontrolled intersections. Further research is required on the impact of AVs on safety and their interactions with vulnerable road users.

Original languageEnglish
Title of host publicationCICTP 2019
Subtitle of host publicationTransportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals
EditorsLei Zhang, Jianming Ma, Pan Liu, Guangjun Zhang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages2742-2750
Number of pages9
ISBN (Electronic)9780784482292
DOIs
Publication statusPublished - 2019
Event19th COTA International Conference of Transportation Professionals: Transportation in China - Connecting the World, CICTP 2019 - Nanjing, China
Duration: 6 Jul 20198 Jul 2019

Conference

Conference19th COTA International Conference of Transportation Professionals: Transportation in China - Connecting the World, CICTP 2019
Country/TerritoryChina
CityNanjing
Period6/07/198/07/19

Keywords

  • Autonomous vehicles
  • Intersection control type
  • Microsimulation

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