Traffic and transport planning in fast-growing metropolitan cities in India is the most challenging task for the urban transport planner, in view of the faster traffic and transport demand growth observed recently. Increase in travel times and their variation are significant issues on urban corridors owing to heavy traffic volume and congestion. The level of service is decreasing, and vehicular delays are intolerable during peak periods. The situations call for in-depth analysis of associated attributes. An important traffic corridor of Surat, a fast-growing metropolitan city in the state of Gujarat in India, is selected for studying the attributes and developing the estimation model as a typical case of urban corridor. The attributes associated with travel time are uncertain and imprecise in nature due to the dynamic traffic environment. Therefore, a soft technique fuzzy rule-based approach has been advocated for developing the travel time estimation model. Estimation model is further validated with field data, and sensitivity analysis with respect to identified attributes has been carried out.


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    Title :

    Fuzzy Rule-Based Travel Time Estimation Modelling: A Case Study of Surat City Traffic Corridor


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:


    Publication date :

    2020-08-29


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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