Highlights Capacity estimation for urban midblock with weak lane-disciplined mixed traffic. Suitable Deterministic and stochastic capacity estimation methods are identified. Calibration of traffic stream models, Product limit method, & Sustained Flow Index. Set of modified guidelines and procedure for probabilistic capacity estimation. An augmented method of determining Level of Service based on Survival Probability. Freedom to provide a desirable/ tolerable LOS respective to the demand and supply. This can supplement traffic authorities in regulating the congestion in urban areas.

    Abstract The present research primarily investigates the applicability of different roadway capacity estimation methods under mixed-traffic conditions, operating with weak-lane discipline. The study also explores the feasibility and advantages of stochastic capacity estimation methods for mixed traffic scenarios on urban roads in India. Three methods, namely Traffic-stream models (calibrated empirically), Product limit method (PLM), and Sustained Flow Index (SFI), are used to estimate the capacity for five different categories of road sections. The Van-Aerde model is found to be the best representative for estimating deterministic roadway capacity. The PLM method is observed to provide the freedom of selecting desirable operational quality. And the SFI method provides the maximum sustained flow for the roadway infrastructure. As a practical outcome, a novel Level of Service monitoring framework is developed by augmenting the traditional volume-to-capacity ratio with the breakdown probabilities.


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    Titel :

    Examining deterministic and probabilistic capacity estimation methods under mixed traffic using empirical data


    Beteiligte:

    Erscheinungsdatum :

    2021-10-19


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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