A measurement to driving situation awareness in signalized intersections

Yan Mao, Wuhong Wang*, Chenxi Ding, Weiwei Guo, Xiaobei Jiang, Martin Baumann, Geert Wets

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Drivers get involved easily in Left-Turn Across Path with Opposite Direction Traffic (LTAP-OD) conflicts at signalized intersection with unprotected left-turn phasing. This study classified the left-turn drivers’ performance into four types: (1) the correct acceptance of safe lags/gaps, (2) the correct rejection of dangerous lags/gaps, (3) the false rejection of safe lags/gaps and (4) the false acceptance of dangerous lags/gaps. Based on the high mounted video camera data, the logistic regression model was used to obtain the critical gaps for estimating whether the lags/gaps were safe or not. The results show that the cognition behavior of the left-turn drivers should be improved while the gap/lag is drawn near the critical gap. Furthermore, the conservative drivers are more likely to reject the larger lags/gaps and yield the right-of-way to the opposing vehicles. Simultaneously the poor response execution may cause drivers to have difficulties during the turning performance when the lags/gaps are large enough. These results could be used as the basis for a discussion of the right time to support the drivers.

Original languageEnglish
Pages (from-to)739-747
Number of pages9
JournalTransportation Research Part D: Transport and Environment
Volume62
DOIs
Publication statusPublished - Jul 2018

Keywords

  • Driving behavior
  • Gap acceptance
  • Intersection safety
  • Left-turn drivers
  • Situation awareness
  • Traffic conflict

Fingerprint

Dive into the research topics of 'A measurement to driving situation awareness in signalized intersections'. Together they form a unique fingerprint.

Cite this