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Optimization of Congested Area for the Parking

Author(s):

Kaustubh P. Tale , DRGIT&R, AMRAVATI, MAHARASHTRA, INDIA; Prof. S. P. Mahajan, Sipna college of Engg.& Tech. Amravati,Maharashtra.; Prof. A. R. Bijwe, DRGIT&R, Amravati, Maharashtra.

Keywords:

Congested Area, Parking

Abstract

There is quote on our traffic condition, “ Everybody in hurry but no one reach on time” now it is carry forward with respective to parking, “ that’s why many of them doesn’t want to park in line”. As the space in urban area shrinks day by day resulting in increased the demand for parking space. Wardha is one of city in Maharashtra having area 70 km2 with population 1,26,444. Growth in percentage of vehicles in 2015-16 (34%), 2016-17 (10.51%). One of the problems faced by the CBD area of Wardha city is congestion due to the parking means more parked vehicle on the road than its parking supply. Aim of project is find out congested area of road due to the parking and optimize for it. Four roads of the CBD area taken as the study area named as, Jain Temple road, Kapada line road, Sarafa line road, Patrawali road which sub divided on the basis of side i.e. left and right. Parking space inventory and in -out parking survey are being done on this road to determine parking bays availability, parking accumulation, parking index and parking load. Some new terms used here like avg. parking accumulation and avg. parking index for lean hour, peak hour and day hour of the study. Most of the times congestion on the roads found in peak hour of the study time. The optimization subjected to those roads whose avg. parking index of the peak hour exceeds 80% that means there is problem of congestion due to the parking exist. The optimization made in such way that, shift more numbers of vehicle of congested road due to which avg. parking index of peak hour time exceeds 80% to nearby road which have low avg. parking index for the peak hour and without affecting the parking supply of the nearby road.

Other Details

Paper ID: IJSRDV7I20796
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 898-906

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