In nature, Indian traffic has a heterogeneous composition, and its management requires a unique solution to its problems. India, a developing country that has undergone rapid urbanization in recent years, has shown strong growth in the transportation demand in urban areas. Urbanization has led to massive growth in burgeoning Indian cities, with it arises significant freight transportation challenges. Current Highway Capacity Manual (HCM) (2016) and Indo-HCM (2017) provides methods for rating the performance analysis of traffic facilities in terms of Level of Service (LOS), by yielding a single LOS value for all users in traffic stream. However, trucks being larger in physical dimensions and unique operating characteristics, which leads to truck drivers to perceive the roadway conditions differently than users of other vehicles modes. Data was collected from Kolkata, Bhubaneshwar, Hyderabad and Ernakulam out-skirt city location where significant truck traffic is found. In this regards, present study focuses on truck driver perception at signalized intersection service level. The method considers a wide spectrum of roadway geometric conditions, traffic composition, and conglomerative elements. It was ensured that a wide range of diversity in each parameter was covered in the selected data. Ordered logit model is proposed for Truck-LOS modeling with pseudo R2 value obtained 0.847.


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    Titel :

    Performance Analysis of Signalized Intersections from Truck Drivers’ Perspective


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Verma, Ashish (Herausgeber:in) / Chotani, M. L. (Herausgeber:in) / Sahoo, Sujeet (Autor:in) / Sudha, Chaganti (Autor:in) / Bhuyan, Prasanta Kumar (Autor:in)

    Kongress:

    Urban Mobility India ; 2022 ; Kochi, India November 04, 2022 - November 06, 2022



    Erscheinungsdatum :

    2023-08-15


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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