The Impact of Road Geometric Formation on Traffic Crash and Its Severity Level

被引:9
|
作者
Jima, Debela [1 ]
Sipos, Tibor [2 ,3 ]
机构
[1] Budapest Univ Technol & Econ, Dept Transportat & Vehicle Engn, Muegyet Rakpart 3, H-1111 Budapest, Hungary
[2] Budapest Univ Technol & Econ, Dept Transport Technol & Econ, Muegyet Rakpart 3, H-1111 Budapest, Hungary
[3] KTI Inst Transport Sci, Directorate Strateg Res & Dev, H-1119 Budapest, Hungary
关键词
multilayer perceptron artificial neural network; multinomial logistic regression; quantum geographic information system; road traffic crash; severity index;
D O I
10.3390/su14148475
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Road infrastructure has an impact on the occurrence of road traffic crashes. The aim of this study was to analyze the impact of road geometric formation on road traffic crashes. Based on the nature, convenience, and availability of data, the study used Budapest city road traffic crash data from 2017 to 2021. For organizing, analysis, and modeling, the study used Microsoft-Excel, the Statistical Package for Social Science, and Quantum Geographic Information System. Relative frequency distribution, Multinomial Logistic Regression, Multilayer Perceptron Artificial Neural Network, and Severity Index were used for the analysis. Both inferential and descriptive statistics are used to describe and summarize the study outcome. Multicollinearity tests, p-value, overdispersion, percent of incorrect error, and other statistical model testes were undertaken to analyze the significance of the data and variable for modeling and analysis. A large number of crashes were observed in straight and one-lane road geometric formationsr890. However, the severity level was high at the horizontal curve and in all three lanes of the road. The regression model indicated that light conditions, collision type, road geometry, and speed had a significant effect on traffic accidents at a p-value of 0.05. A collision between the vehicle (rear end collision), and a vehicle with a pedestrian was the probable cause of the crash. The Multilayer Perceptron Artificial Neural Network indicated that horizontally curved geometry has a positive and strong relationship with road traffic fatalities. The primary reasons for the occurrences of a road traffic crash at an intersection, horizontal curve, and straight road geometric formation were the improper use of road traffic signs, road pavement condition, and stopping sight distance problems, respectively. The hourly distribution showed that from 16:01 to 17:00 time interval was a peak hour for the occurrences of road traffic crashes. Whereas, driver plays vital role and responsible body for the occurrences of crashes at all geometric formations.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] Road Crash Severity Level in Urban Areas. A Study on Traffic Crashes in the Romanian Cities
    Zotic, Vasile
    Alexandru, Diana -Elena
    JOURNAL OF SETTLEMENTS AND SPATIAL PLANNING, 2023, 14 (02): : 109 - 128
  • [2] The impact of traffic barrier geometric features on crash frequency and injury severity of non-interstate highways
    Molan, Amirarsalan Mehrara
    Moomen, Milhan
    Ksaibati, Khaled
    JOURNAL OF SAFETY RESEARCH, 2020, 75 (155-165) : 155 - 165
  • [3] Spatial pattern identification and crash severity analysis of road traffic crash hot spots in Ohio
    Alam, Md Saiful
    Tabassum, Nusrat Jahan
    HELIYON, 2023, 9 (05)
  • [4] Assessment of the level of road crash severity: Comparison of intelligence studies
    Haghshenas, Sina Shaffiee
    Guido, Giuseppe
    Vitale, Alessandro
    Astarita, Vittorio
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 234
  • [5] Crash-related factors associated with the severity of road traffic injuries in Iran
    Majdzadeh, Reza
    Eshraghian, Mohammad Reza
    Khalagi, Kazem
    Motevalian, Abbas
    Naraghi, Kamran
    INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION, 2011, 18 (03) : 175 - 180
  • [6] Severity, Spatial Pattern and Statistical Analysis of Road Traffic Crash Hot Spots in Ethiopia
    Tola, Alamirew Mulugeta
    Demissie, Tamene Adugna
    Saathoff, Fokke
    Gebissa, Alemayehu
    APPLIED SCIENCES-BASEL, 2021, 11 (19):
  • [7] Road Traffic Congestion and Crash Severity: Econometric Analysis Using Ordered Response Models
    Quddus, Mohammed A.
    Wang, Chao
    Ison, Stephen G.
    JOURNAL OF TRANSPORTATION ENGINEERING, 2010, 136 (05) : 424 - 435
  • [8] A novel ensemble learning method for crash prediction using road geometric alignments and traffic data
    Wu, Peijie
    Meng, Xianghai
    Song, Li
    JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2020, 12 (09) : 1128 - 1146
  • [9] Estimating the effect of geometric features of side traffic barriers on crash severity of interstate roads in Wyoming
    Molan, Amirarsalan Mehrara
    Moomen, Milhan
    Ksaibati, Khaled
    ACCIDENT ANALYSIS AND PREVENTION, 2020, 144
  • [10] Impact of Different Levels of Rainfall on the Road Crash Count and Severity in Dhaka City
    S. M. Sohel Mahmud
    Journal of The Institution of Engineers (India): Series A, 2025, 106 (1) : 127 - 142