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International Journal of Scientific & Technology Research

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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Safety Assessment And Accident Prediction On Expressways Using Vehicle Dynamic Simulation Technique

[Full Text]

 

AUTHOR(S)

Eko Deprianto, Ming Foong Soong, Rahizar Ramli, Ahmad Abdullah Saifizul

 

KEYWORDS

vehicle dynamic simulation, safety assessment, expressway, safety risk, road accident, road virtualization

 

ABSTRACT

Road safety assessment is crucial to reducing accidents because any preventive measure is only relevant and thus effective when there is understanding on the nature of accidents and the associated safety risks. Conventional safety assessment on roads is based on post-accident approach, for which the nature of accidents and safety risks are suggested from accident data. Such approach is obviously reactive rather than proactive, since this means accidents have already taken place when safety risk analysis is performed. This study proposes using vehicle dynamic simulation as the alternative, pre-accident method to assess safety, targeting at expressways. To verify the effectiveness of this proposal, the method was tested on three sections of a local major interstate expressway, known to be accident-prone, using road profiles generated virtually. Several simulation parameters were varied to emulate various combinations of vehicle, road and driver elements in the driving events. From simulation outcomes, it was determined that vehicle loss of control, which leads to road accidents, can be predicted by erratic response in certain vehicle dynamic response parameters, namely roll and lateral acceleration, together with inspection of lane departure from simulation visuals. The method was successful in replicating actual accidents at those known accident hotspots, in which the nature is related to lateral and longitudinal dynamics of vehicles that are normally encountered in free-flow traffic of expressways. This shows that vehicle dynamic simulation is an effective pre-accident method of assessing safety of an expressway. With this in mind, it is thus expected to be applicable to the pre-evaluation of safety of many newly-constructed expressways.

 

REFERENCES

[1] Hui, Z., Hu, Y., Jin, S., & Yevenyo, Y. Z. (2016). Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization. ISPRS Journal of Photogrammetry and Remote Sensing, 118, 22-36.
[2] IPG Automotive. (2014). IPG documentation CarMaker® user’s guide version 4.5.4. Karlsruhe, Germany: IPG Automotive GmbH.
[3] Jakimavicius, M. (2018). Analysis and assessment of Lithuanian road accidents by AHP method. The Baltic Journal of Road and Bridge Engineering, 13(3), 238-260.
[4] Malaysian Institute of Road Safety Research (MIROS). (2016). General road accident data in Malaysia (1997-2014). Retrieved from https://www.miros.gov.my/1/page.php?id=17&k=accident%20statistic
[5] Mohammed, N. Z., Ghazi, A., & Mustafa, H. E. (2013). Positional accuracy testing of Google Earth. International Journal of Multidisciplinary Science and Engineering, 4(6), 6-9.
[6] Noon, R. K. (1992). Introduction to forensic engineering. Florida: CRC Press.
[7] Rusli, N., Majid, M. R., & Din, A. H. M. (2014). Google Earth’s derived digital elevation model: A comparative assessment with Aster and SRTM data. Earth and Environmental Science, 18, 012065, 1-6.
[8] Saifizul, A. A., Yamanaka, H., & Karim, M. R. (2011). Empirical analysis of gross vehicle weight and free flow speed and consideration on its relation with differential speed limit. Accident Analysis and Prevention, 43(3), 1068-1073.
[9] Sharizli, A. A., Ramli, R., Karim, M. R., & Saifizul, A. A. (2015). New method for distance-based close following safety indicator. Traffic Injury Prevention, 16(2), 190-195.
[10] Sharma, A., & Gupta, D. (2014). Derivation of topographic map from elevation data available in Google Earth. Civil Engineering and Urban Planning: An International Journal (CiVEJ), 1(1), 14-21.
[11] Silva, J. E. D. (2016, January 23). Tech halves crash rate. The Star Online. Retrieved from http://www.thestar.com.my/news/nation/2016/01/23/tech-halves-crash-rates-plus-antiskid-pavement-a-most-effective-safety-measure/
[12] Soltani, M., Moghaddam, T. B., Karim, M. R., & Sulong, N. H. R. (2013). Analysis of developed transition road safety barrier systems. Accident Analysis and Prevention, 59, 240-252.
[13] Soong, M. F., Ramli, R., & Saifizul, A. (2017). Between simplicity and accuracy: Effect of adding modeling details on quarter vehicle model accuracy. PLoS One, 12(6), e0179485, 1-23.
[14] Tey, J. Y., Ramli, R., Abidin, M. A. Z., Alias, A., & Dzakaria, A. (2013). Design optimization of full vehicle suspension based on ride and handling performance. In Proceedings of the FISITA 2012 World Automotive Congress, China, (pp. 75-86).
[15] Tey, J. Y., Soong, M. F., & Ramli, R. (2014). Optimized suspension kinematic profiles for handling performance using 10-degree-of-freedom vehicle model. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 228(1), 82-99.
[16] The Sun Daily. (2016, December 10).Tanker lorry crash causes traffic congestion near Menora Tunnel. The Sun Daily. Retrieved from http://www.thesundaily.my/news/2090745
[17] Uys, P. E., Els, P. S., & Thoresson, M. J. (2006). Criteria for handling measurement. Journal of Terramechanics, 43(1), 43-67.
[18] Veness, C. (2002). Calculate distance, bearing and more between latitude / longitude points. Retrieved from http://www.movable-type.co.uk/scripts/latlong.html
[19] Zamzamzadeh, M., Saifizul, A., Ramli, R., & Soong, M. F. (2018). Heavy vehicle multi-body dynamic simulations to estimate skidding distance. The Baltic Journal of Road and Bridge Engineering, 13(1), 23-33.