title: Reducing the risk of rear-end collisions with infrastructure-to-vehicle (I2V) integration of variable speed limit control and adaptive cruise control system.
abstract: Adaptive cruise control (ACC) has been investigated recently to explore ways to increase traffic capacity, stabilize traffic flow, and improve traffic safety. However, researchers seldom have studied the integration of ACC and roadside control methods such as the variable speed limit (VSL) to improve safety. The primary objective of this study was to develop an infrastructure-to-vehicle (I2V) integrated system that incorporated both ACC and VSL to reduce rear-end collision risks on freeways.
  
  
  
  The intelligent driver model was firstly modified to simulate ACC behavior and then the VSL strategy used in this article was introduced. Next, the I2V system was proposed to integrate the 2 advanced techniques, ACC and VSL. Four scenarios of no control, VSL only, ACC only, and the I2V system were tested in simulation experiments. Time exposed time to collision (TET) and time integrated time to collision (TIT), 2 surrogate safety measures derived from time to collision (TTC), were used to evaluate safety issues associated with rear-end collisions. The total travel times of each scenario were also compared.
  
  
  
  The simulation results indicated that both the VSL-only and ACC-only methods had a positive impact on reducing the TET and TIT values (reduced by 53.0 and 58.6% and 59.0 and 65.3%, respectively). The I2V system combined the advantages of both ACC and VSL to achieve the most safety benefits (reduced by 71.5 and 77.3%, respectively). Sensitivity analysis of the TTC threshold also showed that the I2V system obtained the largest safety benefits with all of the TTC threshold values. The impact of different market penetration rates of ACC vehicles in I2V system indicated that safety benefits increase with an increase in ACC proportions.
  
  
  
  Compared to VSL-only and ACC-only scenarios, this integrated I2V system is more effective in reducing rear-end collision risks. The findings of this study provide useful information for traffic agencies to implement novel techniques to improve safety on freeways.
authors.affiliation: a School of Transportation, Southeast University , Nanjing , P. R. China.
authors.forename: Ye
authors.initials: Y
authors.lastname: Li
authors.affiliation: a School of Transportation, Southeast University , Nanjing , P. R. China.
authors.forename: Hao
authors.initials: H
authors.lastname: Wang
authors.affiliation: a School of Transportation, Southeast University , Nanjing , P. R. China.
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.affiliation: b Department of City and Regional Planning , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina.
authors.forename: Shanwen
authors.initials: S
authors.lastname: Liu
authors.affiliation: c School of Civil Engineering and Architecture, Nanchang Hangkong University , Nanchang , P. R. China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Xiang
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D001331:Automation; D001334:Automobile Driving; D003654:Deceleration; D006801:Humans; D008962:Models, Theoretical; D011482:Protective Devices; D012306:Risk; D012449:Safety
keywords: adaptive cruise control; collision risk; infrastructure-to-vehicle; safety; variable speed limit