Analysis of vehicle stop-and-go driving behaviors at signalized intersections

Sicong Zhu, Inhi Kim, Qi Zhao, Guohua Song, Lei Yu, Zhigui Chen

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


Vehicle specific power (VSP) has been widely utilized to reveal the impact of vehicle operating conditions on estimations of emissions and energy consumption that are dependent upon speed and acceleration or deceleration based on second-by-second vehicle operation. The analysis of acceleration and deceleration stop-and-go behaviors at intersections is needed for queue simulation and emissions estimation. High-resolution data obtained by driving simulator sensors can provide useful insights into driving behavior at intersections. Hence, aggressive driving behaviors that account for a significant share of vehicle emissions can be identified by data-driven analysis of VSP distribution. Based on the analysis results, an aggregated VSP distribution represents the profile of driving behaviors at signalized intersections.

Original languageEnglish
Title of host publicationCICTP 2017
Subtitle of host publicationTransportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals
EditorsHaizhong Wang, Jian Sun, Jian Lu, Lei Zhang, Yu Zhang, ShouEn Fang
Place of PublicationReston VA USA
PublisherAmerican Society of Civil Engineers
Number of pages11
ISBN (Print)9780784480915
Publication statusPublished - 2018
EventCOTA International Conference of Transportation Professionals (CICTP) 2017 - Shanghai, China
Duration: 7 Jul 20179 Jul 2017
Conference number: 17th (Proceedings)


ConferenceCOTA International Conference of Transportation Professionals (CICTP) 2017
Abbreviated titleCICTP 2017
Internet address


  • Aggressive driving
  • Data-driven
  • Simulator
  • Vehicle specific power (VSP)

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