Modeling Lane-Changing Behavior in Freeway Off-Ramp Areas from the Shanghai Naturalistic Driving Study

The objective of this study is to investigate lane-changing characteristics in freeway off-ramp areas using Shanghai Naturalistic Driving Study (SH-NDS) data, considering a four-lane freeway stretch in various traffic conditions. In SH-NDS, the behavior of drivers is observed unobtrusively in a natural setting for a long period of time. The authors identified 433 lane-changing events with valid time series data from the whole dataset. Based on the logit model developed to analyze the choice of target lanes, a likelihood analysis of lane-changing behavior was graphed with respect to three traffic conditions: free flow, medium flow, and heavy flow. The results suggested that lane-changing behavior of exiting vehicles is the consequence of the balance between route plan (mandatory incentive) and expectation to improve driving condition (discretionary incentive). In higher traffic density, the latter seems to play a significant role. Furthermore, the authors found that lane-change from the slow lane to the fast lane would lead to higher speed variance value, which indicates a higher crash risk. The findings contribute to a better understanding on drivers' natural driving behavior in freeway off-ramp areas and can provide important insight into road network design and safety management strategies.

• Record URL:
  https://doi.org/10.1155/2018/8645709
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
• Supplemental Notes:
  • Copyright © 2018 Lanfang Zhang et al.
• Authors:
  • Zhang, L
  • Chen, Chen
  • Zhang, Jinglei
  • Fang, S
  • You, J
  • Guo, Jianhua
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • Journal of Advanced Transportation
  • Volume: 2018
  • Issue Number: Article ID 8645709
  • Publisher: John Wiley & Sons, Incorporated
  • ISSN: 0197-6729
  • EISSN: 2042-3195
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Behavior; Drivers; Freeways; Lane changing; Off ramps
• Geographic Terms: Shanghai (China)
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01676019
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 25 2018 9:21AM