The effectiveness of managed lane strategies for the near-term deployment of cooperative adaptive cruise control

Zijia Zhong, Joyoung Lee

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Traffic simulation is a cost-effective way to test the deployment of Cooperative Adaptive Cruise Control (CACC) vehicles in a large-scale transportation network. By using a previously developed microscopic simulation testbed, this paper examines the impacts of four managed lane strategies for the near-term deployment of CACC vehicles under mixed traffic conditions. Network-wide performance measures are investigated from the perspectives of mobility, safety, equity, and environmental impacts. In addition, the platoon formation performance of CACC vehicles is evaluated with platoon-orientated measures, such as the percentage of platooned CACC vehicles, average platoon depth, and vehicle-hour-platooned that is proposed in this paper under the imperfect DSRC communication environment. Moreover, managed lane score matrices are developed to incorporate heterogeneous categories of performance measures, aiming to provide a more comprehensive picture for stakeholders. The results show that mixing CACC traffic along with non-CACC traffic across all travel lanes is an acceptable option when the market penetration (MP) is lower than 30% for roadways where a managed lane is absent. Providing CACC with priority access to an existing managed lane, if available, is also a good strategy for improving the overall traffic performance when the MP is lower than 40%. When the MP reaches above 40%, a dedicated lane for CACC vehicles is recommended, as it provides greater opportunity for CACC vehicles to form platoons. The facilitation of homogeneous CACC traffic flow could make further improvements possible in the future.

Original languageEnglish (US)
Pages (from-to)257-270
Number of pages14
JournalTransportation Research Part A: Policy and Practice
Volume129
DOIs
StatePublished - Nov 2019

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Business, Management and Accounting (miscellaneous)
  • Transportation
  • Civil and Structural Engineering
  • Management Science and Operations Research

Keywords

  • Cooperative adaptive cruise control
  • Imperfect DSRC communication
  • Managed lane
  • Microscopic traffic simulation
  • Mixed traffic conditions
  • Platoon formation

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