01371156

Component

Advanced driver assistance technologies are continuously being developed to enhance traffic safety. Evaluations of such technologies typically focus on safety and there has been limited research on the impacts of such technologies on traffic operations. Given the difficulty in observing such impacts in the real world, traffic simulation is used in this project to replicate such technologies under various demand and market penetration scenarios. The project focuses on Advanced Cruise Control (ACC) and Lane Change Assist (LCA). These two systems were replicated in a microsimulator (CORSIM) and their impacts were reported separately and in combination along a test network. It was concluded that the ACC can significantly increase speeds for congested conditions, even at the lowest market penetration scenario tested (20% ACC in the traffic stream). However, when ACC is present, bottlenecks can be created at locations where a significant number of drivers are likely to turn their ACC off. When only the LCA was present the number of lane change maneuvers increased, the throughput (VMT) increased, and travel time was not significantly affected. When both LCA and ACC were present, conditions improved significantly, and similarly to when ACC was available by itself.

This paper was sponsored by TRB committee AHB15 Intelligent Transportation Systems

01362476

12-1973

English

14p

2012

Transportation Research Board 91st Annual Meeting

Digital/other

Figures; References; Tables

Advanced vehicle control systems; Algorithms; Autonomous intelligent cruise control; Highway operations; Intelligent transportation systems; Lane changing; Microsimulation; Travel time

Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment; I70: Traffic and Transport; I73: Traffic Control; I90: Vehicles

Transportation Research Board Annual Meeting 2012 Paper #12-1973

TRIS, TRB

Feb 8 2012 5:06PM