Identifying Black Spots in Southeast Sulawesi Province, Indonesia: A Combination Method of Equivalent Accident Number and Road Safety Survey Value

DOI

10.2991/apte-18.2019.28How to use a DOI?

Keywords

Road safety, black spots, ranking, Equivalent Accident Number (EAN), Road Safety Survey Value (RSSV), Southeast Sulawesi.

Abstract

Road traffic accidents still become major problems for Indonesia causing more than 25,000 deaths per year. One of the challenges faced in making road betterments is how to identify and prioritize black spots with minimal accident data. This study offers an innovative approach to combine Equivalent Accident Number (EAN) with other road and traffic parameters which have potentials to cause accidents: average daily traffic, road pavement condition, turning radius, road grade, shoulder width, roadside hazards, and safety facilities, called Road Safety Survey Value (RSSV). The approach was successfully implied on National Roads Southeast Sulawesi Province, showing more accurate ranking of 15 black spots to be treated than the EAN Method.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Budi Susilo
AU  - Rhenato Geovan
AU  - Ivan Imanuel
PY  - 2019/10
DA  - 2019/10
TI  - Identifying Black Spots in Southeast Sulawesi Province, Indonesia: A Combination Method of Equivalent Accident Number and Road Safety Survey Value
BT  - Proceedings of the 11th Asia Pacific Transportation and the Environment Conference (APTE 2018)
PB  - Atlantis Press
SP  - 171
EP  - 175
SN  - 2352-5401
UR  - https://doi.org/10.2991/apte-18.2019.28
DO  - 10.2991/apte-18.2019.28
ID  - Susilo2019/10
ER  -