For decades, researchers have been working to improve our understanding of the elements that influence the chance of vehicle accidents. One of the most difficult issues in traffic safety is identifying the relationship between motor vehicle crashes and roadway geometry elements, characteristics of road user, and vehicle characteristics. Traffic flow, the presence of a junction, and the presence of a physical division between carriageways were the most critical variables in distinguishing between single and multivehicle crashes. To get more insight into the factors that are involved in the single-vehicle crashes, this paper investigates single-vehicle crashes that were reported for Vadodara, India. Poisson and Negative Binomial regression models were developed for single-vehicle crash prediction. The model estimation parameters indicate a significant association of single-vehicle crashes with road geometry like the number of lanes, traffic flow, and length of the road segment. It has also been shown that the on-street parking and access density has not much to do with the single-vehicle crash that occurred at the roadway. Practical application: At the planning stage smaller road segment size with less wide roads will result in lower traffic flow ultimately resulting in less single-vehicle crashes.


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    Titel :

    Study of Single-Vehicle Traffic Crashes


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Rastogi, Rajat (Herausgeber:in) / Bharath, G. (Herausgeber:in) / Singh, Dharamveer (Herausgeber:in) / Suthar, Janak R. (Autor:in) / Prajapati, Pankaj (Autor:in)

    Kongress:

    International Conference on Transportation Infrastructure Projects : Conception to Execution ; 2022 ; Haridwar, India September 14, 2022 - September 17, 2022



    Erscheinungsdatum :

    2023-07-22


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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