Abstract
Walking is one of the most important modes of travel, so pedestrian facilities are presenting attracting the interest of diverse researchers. However, because of speedy urbanization, traffic congestion has turn out to be a chief problem for secure pedestrian motion. It is important to objectively quantify how nicely roadways accommodate pedestrian movement. Because of more urbanization and also huge distance among the successive intersections, people are forced to cross at midblock. This paper goals in expertise pedestrian characteristics that is a fundamental in pedestrian plans system, by developing a model together with basic parameters (speed, flow and density) which fits best for the collected data. Pedestrian data required are retrieved using videography technique during morning and evening peak hours of a day at Kukatpally and Nizampet cross-road signalized midblocks in Hyderabad city. Greenshields’s macroscopic stream model was used to find the important parameters like free-flow speed (vf), max flow (Qmax) and jam density (kj). Then, a statistical flow model using normal distribution (which best fitted the data) is developed using the basic parameters speed and density in R software. From the results, it was found that log normal distribution fits best for the collected data and pedestrian flow can be found from the equation using pedestrian speed and density.
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Reddy, S.P., Tallam, T., Lakshmana Rao, K.M. (2020). Calibration of Pedestrian Flow Model Using Greenshield’s Macroscopic Stream Model for a Signalized Midblock. In: Saride, S., Umashankar, B., Avirneni, D. (eds) Advances in Geotechnical and Transportation Engineering . Lecture Notes in Civil Engineering, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-15-3662-5_10
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DOI: https://doi.org/10.1007/978-981-15-3662-5_10
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