The most difficult and important maneuvers on undivided road is overtaking maneuvre. Fast moving vehicles overtake slow moving vehicles with facing incoming traffic from the opposite direction. Lateral movements of vehicle are influenced by various parameters like driver behavior, vehicle type and vehicle speed. Drivers of small vehicles like motorcycles have the flexibility to maintain closer safe distances from the vehicles in front, and tolerate smaller lateral clearances while making lateral movements inside the lane as well as across the lanes. While heavy vehicle drivers have less freedom when it comes to increasing/decreasing speed and operating lateral movements. The main objective of this study is to evaluate lateral features of drivers on two-lane two-way undivided roadways. And develop model for lateral features of vehicles. For this, video graphic techniques were used to collect traffic data on urban undivided road segment in Aurangabad, Bihar, India. For various types of subjects and opposing pair, lateral separation was analyzed by multiple linear regression models. The findings demonstrate that as vehicle sizes increase, lateral separation decreases and the ability of the present and opposing vehicles to maneuver laterally reduces. Most of the vehicle (71.2%) travels in the center of the highway, with lateral placing of 2-5 m. Multinomial logistic regression was used to model how vehicles on urban undivided roadways chose their lateral shifts. The result of this study can be used for developing road safety features during overtaking maneuvers in Aurangabad (Bihar). This study would also be helpful in implementing education regularity about road safety education.


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    Title :

    Study of Driver Behavior in Overtaking Maneuvers on Undivided Road in Indian Context


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:

    Conference:

    National Conference on Recent Advances in Traffic Engineering ; 2022 ; Surat, India November 11, 2022 - November 12, 2022



    Publication date :

    2023-10-29


    Size :

    22 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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