Abstract
The purpose of this study is to present the prediction analysis of traffic accident and future applications by calculating accident risks based on ITS (Intelligent Transport Systems) data via VDS (Vehicle Detecting System). Many researches have described various traffic accident predictions and reductions. However, until recently, empirical studies considering real traffic environments are still insufficient. Site selections in this study were made from accident related data and collected data from VDS to calculate traffic accident rates. Results from analysis showed occurrence of traffic accident by time and explore possibilities for its application in future traffic accident management.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sun, D., Benekohal, R.F.: Analysis of Car Following Characteristics for Estimating Work Zone Safety. In: Annul Meeting of the Transportation Research Board (2003)
Andersen, G.J.: Visual Information for Car Following by Drivers: The role of Scene Information. In: Annul Meeting of the Transportation Research Board (2003)
Ministry of Construction and Transportation, Development of Traffic Safety Evaluation Model for Advanced Traffic Management (2003)
Paul, G.: Headway on urban streets: observational data and an intervention to decrease tailgating. Transportation Research Part F (2000)
Road Traffic Authority, Statistic of Traffic in 2005(2005)
Road Traffic Authority, Comparisons of Accidents for OECD Member Countries (2005)
Road Traffic Authority, Analysis of Traffic Accidents Statistics (2005)
Ruediger, L.: Highway Design and Traffic Safety Engineering Handbook. McGraw-Hill, New York (1999)
Nam, S.W.: Trend of Mobile Ad-Hoc Network and Wireless Access Technologies. Vol.108. Ministry of Information and Communication Radio Research Libratory (2002)
Pek, S.G.: Accident Prediction in Motorways Considering Traffic Volumes and Length. Vol.23. Korean Society of Transportation (2005)
Kang, S.L.: A GIS-based Traffic Accident Analysis on Highways using Alignment Related Risk Indices. Vol. 21. Korean Society of Transportation (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, C., Lee, B.G., Kim, K., Lee, H.S. (2007). A VDS Based Traffic Accident Prediction Analysis and Future Application. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_95
Download citation
DOI: https://doi.org/10.1007/978-3-540-72830-6_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72829-0
Online ISBN: 978-3-540-72830-6
eBook Packages: Computer ScienceComputer Science (R0)