11
views
0
recommends
+1 Recommend
0 collections
0
shares
• Record: found
• Abstract: found
• Article: found
Is Open Access

# Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures

Hindawi Limited

ScienceOpenPublisher
Bookmark
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

### Abstract

Autonomous vehicle (AV) technology has advanced rapidly in recent years with some automated features already available in vehicles on the market. AVs are expected to reduce traffic crashes as the majority of crashes are related to driver errors, fatigue, alcohol, or drugs. However, very little research has been conducted to estimate the safety impact of AVs. This paper aims to investigate the safety impacts of AVs using a simulation-based surrogate safety measure approach. To this end, safety impacts are explored through the number of conflicts extracted from the VISSIM traffic microsimulator using the Surrogate Safety Assessment Model (SSAM). Behaviours of human-driven vehicles (HVs) and AVs (level 4 automation) are modelled within the VISSIM’s car-following model. The safety investigation is conducted for two case studies, that is, a signalised intersection and a roundabout, under various AV penetration rates. Results suggest that AVs improve safety significantly with high penetration rates, even when they travel with shorter headways to improve road capacity and reduce delay. For the signalised intersection, AVs reduce the number of conflicts by 20% to 65% with the AV penetration rates of between 50% and 100% (statistically significant at $p < 0.05$). For the roundabout, the number of conflicts is reduced by 29% to 64% with the 100% AV penetration rate (statistically significant at $p < 0.05$).

### Most cited references19

• Record: found

### Policy and society related implications of automated driving: A review of literature and directions for future research

(2017)
Bookmark
• Record: found

### Using an Activity-Based Model to Explore the Potential Impacts of Automated Vehicles

(2019)
Bookmark
• Record: found
• Abstract: found
• Article: found
Is Open Access

### Examining accident reports involving autonomous vehicles in California

(2017)
Autonomous Vehicle technology is quickly expanding its market and has found in Silicon Valley, California, a strong foothold for preliminary testing on public roads. In an effort to promote safety and transparency to consumers, the California Department of Motor Vehicles has mandated that reports of accidents involving autonomous vehicles be drafted and made available to the public. The present work shows an in-depth analysis of the accident reports filed by different manufacturers that are testing autonomous vehicles in California (testing data from September 2014 to March 2017). The data provides important information on autonomous vehicles accidents’ dynamics, related to the most frequent types of collisions and impacts, accident frequencies, and other contributing factors. The study also explores important implications related to future testing and validation of semi-autonomous vehicles, tracing the investigation back to current literature as well as to the current regulatory panorama.
Bookmark

### Author and article information

###### Journal
Hindawi Limited
0197-6729
2042-3195
2018
2018
: 2018
: 1-11
###### Affiliations
[1 ]Monash Institute of Transport Studies, Department of Civil Engineering, Monash University, Melbourne, VIC, Australia
[2 ]School of Civil and Environmental Engineering, Nanyang Technological University, Singapore
###### Article
10.1155/2018/6135183
b32e7cdc-f3ae-4ce2-8dba-153931df82d7