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Inventi Rapid - Civil Engineering

Articles

  • Inventi:ece/21629/17
    REVIEW ON FEASIBILITY OF TIDAL TRAFFIC FLOW ON HELMET CROSS ROAD TO STADIUM CROSS ROAD
    Mitesh Patel*, Vrundani Vaidhy

    The road transportation is very important network for any country. But now a day’s most of the cities are facing same problem which is traffic and congestion in urban area. And there are limitations to expansion further road due to less arability of extra land. In that kind of condition the traffic management can be done by reversible traffic lane. Contraflow reversal of lanes in order to temporarily increase the capacity of congested roads can effectively mitigate traffic congestion during rush hour and emergency evacuation. However, contraflow lane reversal deployed in several cities are designed for specific traffic patterns at specific hours and do not adapt to fluctuations in actual traffic. Motivated by recent advances in autonomous vehicle technology, we propose a framework for dynamic lane reversal in which the lane directionality is updated quickly and automatically in response to instantaneous traffic conditions recorded by traffic sensors. We analyze the conditions under which dynamic lane reversal is effective and propose an integer linear programming formulation and a bi-level programming formulation to compute the optimal lane reversal configuration that maximizes the traffic flow. In our experiments, active contraflow increases network efficiency by 72%. The study involve an implementation of reversible lane as a method by which traffic flow carrying capacity is increase and traffic jam density is decrease. For that various type of data are needed which: traffic volume, delay time, accidents survey, spot speed study, traffic conflicts, fuel consumption and environment factor are needed to study about it.

    How to Cite this Article
    Mitesh Patel, Vrundani Vaidhy. Review on Feasibility of Tidal Traffic Flow on Helmet Cross Road to Stadium Cross Road. Inventi Rapid: Civil Engineering, 2017(2):1-7, 2017.
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