01555323

Component

Advanced vehicle safety systems have been widely introduced in transportation systems and are expected to enhance traffic safety. However, these technologies mainly focus on assisting individual vehicles that are equipped with them, and less effort has been made to identify the effect of vehicular technologies on the traffic stream. This study proposed a methodology to assess the effectiveness of active vehicle safety systems (AVSSs), which represent a promising technology to prevent traffic crashes and mitigate injury severity. An integrated AVSS, which consists of an adaptive cruise control (ACC), an automatic emergency braking system (AEBS), and a blind-spot detection system (BSDS), was evaluated based on the proposed technology in terms of crash potential reduction and congestion mitigation. A microscopic traffic simulator, VISSIM, was used to simulate freeway traffic stream and collect vehicle-maneuvering data. In addition, an external application program interface, VISSIM's COM-interface, was used to implement the integrated AVSS. A surrogate safety assessment model (SSAM) was used to derive indirect safety measures to evaluate the effectiveness of the integrated AVSS. For the non-incident conditions, the rear-end and lane-change conflicts were reduced by 78.8% and 17.3%, respectively, under the level of service (LOS) D traffic conditions. In addition, the average delay was reduced by 55.5%. However, the system's effectiveness was weakened in the LOS A-C categories. Under incident traffic conditions, the number of rear-end conflicts was reduced by approximately 9.7%. Vehicle delays were reduced by approximately 43.9% with 100% MPR. These results imply that from the perspective of traffic operations and control to address the safety and congestion issues of a traffic stream, smarter management strategies that consider both traffic conditions and MPR are required to fully exploit the effectiveness of the integrated AVSS in the field.

This paper was sponsored by TRB committee AHB30 Vehicle-Highway Automation.

01550057

15-1756

English

17p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Active safety systems; Crash rates; Methodology; Microsimulation; Performance measurement

Data and Information Technology; Highways; Safety and Human Factors; I72: Traffic and Transport Planning; I80: Accident Studies

Transportation Research Board Annual Meeting 2015 Paper #15-1756

TRIS, TRB, ATRI

Dec 30 2014 12:38PM