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Analysis of the Driver’s Behavior Characteristics in Low Volume Freeway Interchange

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  • Ronghua Wang
  • Jiangbi Hu
  • Xiaoqin Zhang

Abstract

Drivers’ behavior characteristics cannot be ignored in designing freeway interchange facilities in order to improve traffic safety. This paper conducted a field experiment in Qingyin expressway. Four freeway interchanges from K571+538 to K614+932 with relatively low volume were selected, and 12 qualified drivers, 6 car test drivers and 6 truck test drivers, were driving vehicles according to the driving program. GPS and eye-tracking instrument were employed to record running speed, real-time, running track, fixation point, and so forth. Box-plot graphs and Student’s -test were used to analyze the 12 data sets of driver’s fixation on exit guide signs. Speed-distance curves of effective 11 data sets were plotted to examine the test drivers’ behavior in diverging area and merging area. The results indicated that (1) drivers recognize the exit direction signs in 170 m–180 m advanced distance; (2) the diverging influence area is 1000 m upstream of the diverge point, and the merging influence area is 350 m downstream of the merge point; (3) NO OVERTAKING sign is recommended to be placed at 350 m upstream of the diverge point. The results can provide guidance for the design of freeway interchange facilities and management in order to improve traffic safety.

Suggested Citation

  • Ronghua Wang & Jiangbi Hu & Xiaoqin Zhang, 2016. "Analysis of the Driver’s Behavior Characteristics in Low Volume Freeway Interchange," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, April.
  • Handle: RePEc:hin:jnlmpe:2679516
    DOI: 10.1155/2016/2679516
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    Cited by:

    1. Jayita Chakraborty & Debapratim Pandit & Jianhong Xia & Felix Chan, 2024. "Modeling the decision of ridesourcing drivers to park and wait at trip ends: a comparison between Perth, Australia and Kolkata, India," Transportation, Springer, vol. 51(3), pages 1089-1124, June.
    2. Xin Tian & Mengmeng Shi & Mengyu Shao & Binghong Pan, 2023. "Calculation Method of Deceleration Lane Length and Slope Based on Reliability Theory," Sustainability, MDPI, vol. 15(17), pages 1-26, August.

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