Quantitative Analysis of Safety Improvement on Smart Roads
Sung-Ho Oh, Joon-Ki Kim, Ho-Jeung Kim · 18th ITS World CongressTransCoreITS AmericaERTICO - ITS EuropeITS Asia-Pacific · 2011
Intelligent transport services on smart roads tend to have a problem at the stage of benefit-cost analysis that cannot secure economic feasibility of the new services because this service increase early investment cost on building its infrastructure, but the current benefit-cost analysis in Korea does not reflect the benefits from its service. It is expected that the number of road accidents, 'Incident/Accident' will decline through various safety services using intelligent safety facilities, intelligent transport management and so on, and that traffic congestion will also decrease. The effect of traffic congestion reduction could be the benefit by safety improvement; however current investment analysis process in Korea does not appropriate it as a benefit. This study estimated road blocking time with 'Incident/Accident' classification and highway accident data of the past three years. It also developed a delay time estimation model by a regression analysis with data gaining from a micro-simulation. Furthermore, it suggested necessary units (e.g., average capacity deduction rate) on quantitative analysis in order to make the developed model applicable to investment evaluation. As a result of applying the developed model to Smart-Highway Project, it showed that total safety improvement benefit is about 139 billion dollars over 30 years when it is supposed that accident decreasing rate by smart safety fatalities 10%.