Influence of pavement condition towards accident number on Malaysian highway

被引:4
作者
Baskara, S. N. [1 ,2 ]
Yaacob, H. [1 ]
Hainin, M. R. [1 ]
Hassan, S. A. [1 ]
Mashros, N. [1 ]
Yunus, N. Z. M. [1 ]
Hassan, N. A. [1 ]
Warid, M. N. M. [1 ]
Idham, M. K. [1 ]
Ismail, C. R. [1 ]
Nor, H. M. [1 ]
Mohamad, A. [1 ]
Aziz, M. M. A. [1 ]
Afiqah, R. N. [1 ]
Ahmad, M. S. A. [3 ]
Jaya, R. P. [4 ]
机构
[1] Univ Teknol Malaysia, Fac Engn, Sch Civil Engn, Utm Johor Bahru 81310, Johor, Malaysia
[2] INTI Int Univ, Fac Engn & Quant Surveying, Nilai 71800, Negeri Sembilan, Malaysia
[3] Malaysian Highway Author, KM-6 Jalan Serdang Kajang, Kajang 43000, Selangor, Malaysia
[4] Univ Malaysia Pahang, Fac Civil Engn & Earth Resources, Gambang 26300, Pahang, Malaysia
来源
12TH INTERNATIONAL CIVIL ENGINEERING POST GRADUATE CONFERENCE (SEPKA) / 3RD INTERNATIONAL SYMPOSIUM ON EXPERTISE OF ENGINEERING DESIGN (ISEED), 2018 | 2019年 / 220卷
关键词
D O I
10.1088/1755-1315/220/1/012008
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Accidents in Malaysia are alarming and have been in the rise for the past decades. Increasing numbers of road users, condition of road surface, expanded road network and weather conditions are being carefully looked into determining the contributors towards fatality. Human factors has been widely known and established as one of the main contributor to road accidents. Therefore, this study had focused more on to pavement conditions, where its relation with accidents needs to be further explored. The purpose of this study is to determine the influence of pavement condition towards accident number on Malaysian Highway. Pavement condition data which consist of Mean Texture Depth (MTD), Rutting Depth (RD) and also International Roughness Index (IRI) were measured along 265 km southern stretch of Malaysia highway, by using Multi Laser Profiler (MLP). Accident data were also collected from the accident report prepared by Southern region of Malaysian Highway Authority. Based on the results, it was found that more than 70% of the accidents happened at a good condition of road which having high MTD, low RD and minimum IRI. MTD was found as the most significance parameters that relates to accident. Other factors such as human negligence and environments (weather and lighting), might be the major cause that contribute to the accidents that happened along Malaysian highway.
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页数:8
相关论文
共 24 条
[1]  
Alauddin M A, 2008, 7 INT C MNGMT PVMT A, P11
[2]   Impact of pavement condition on rural road accidents [J].
AlMasaeid, HR .
CANADIAN JOURNAL OF CIVIL ENGINEERING, 1997, 24 (04) :523-531
[3]   A study of factors affecting highway accident rates using the random-parameters tobit model [J].
Anastasopoulos, Panagiotis Ch ;
Mannering, Fred ;
Shankar, Venky N. ;
Haddock, John E. .
ACCIDENT ANALYSIS AND PREVENTION, 2012, 45 :628-633
[4]  
[Anonymous], 1990, HIGHW PERF MON SYST
[5]  
[Anonymous], 2009, Global status report on road safely: time for action
[6]  
Bester C J, 2003, TRANSP RES BOARD TRB, P23
[7]   Investigating effects of asphalt pavement conditions on traffic accidents in Tennessee based on the pavement management system (PMS) [J].
Chan, Chun Yip ;
Huang, Baoshan ;
Yan, Xuedong ;
Richards, Stephen .
JOURNAL OF ADVANCED TRANSPORTATION, 2010, 44 (03) :150-161
[8]   Incorporating Pavement Skid Resistance and Hydroplaning Risk Considerations in Asphalt Mix Design [J].
Chu, Longjia ;
Fwa, T. F. .
JOURNAL OF TRANSPORTATION ENGINEERING, 2016, 142 (10)
[9]   An analysis of Malaysia road traffic death distribution by road environment [J].
Darma, Yusria ;
Karim, Mohamed Rehan ;
Abdullah, Sulaiman .
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2017, 42 (09) :1605-1615
[10]   Traffic accident segmentation by means of latent class clustering [J].
Depaire, Benoit ;
Wets, Geert ;
Vanhoof, Koen .
ACCIDENT ANALYSIS AND PREVENTION, 2008, 40 (04) :1257-1266