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Development of Model for Work Zone Capacity for Urban Area - A Case Study of Ahmedabad City

Author(s):

Patel Nilkanth Natvarbhai , L.D.College Engineering; Prof. Nikhil. G. Raval, L.D.College Engineering

Keywords:

Work zone capacity, multiple regression, long-term construction work-zone

Abstract

Work-zones significantly influence the traffic flow operation on urban roadways. In Work-Zones, the capacity can be considerably reduced due to obstructed road width, unfavourable roadway condition and construction activity at work-zones. The work-zone capacity is the important variable for most of the traffic management problem at Work-Zone site such as a maximum queue length and excessive delay due to execution of construction activity. In the computer models, important variables like queue and user cost evaluation of work-zones are considered as input variables while in Quick zone model, work-zone capacity is considered as principle input variable to determine the delay cost. Therefore, it is very important to develop the work-zone capacity models in urban area for a heterogeneous traffic condition. The paper aims to determine the work – zone capacity for the highly congested area of Ahmedabad city of Gujarat state. It includes the estimation of capacity and work – zone capacity of urban area. The speed – flow relationship is developed for unobstructed stretch and obstructed stretch of eastern part of Ahmedabad city. In the present study, four stretches of long-term work-zones of urban area are considered as a study area. The video graphic techniques are used for data collection at an upstream side, down-stream side and 100 meters ahead of work-zones. It is observed observed form the study that the composition of two wheelers is higher than the other category of vehicles. The work zone capacity and unobstructed capacity is determined in the field. The multiple regression model is developed for estimating capacity on work-zones for a establishing a functional relationship between work-zone capacity and several principal independent factors such as the unobstructed road width, percentage of heavy vehicle and percentage of two wheeler using regression technique. The output of developed model is compared with output of Kim’s capacity models. The observed work zone capacity is higher than the output of Kim’s model. The developed model is validated with field data. It shows that the developed model is validated with higher accuracy level. The model is statistically validated using SPSS software. It is observed from the study that capacity of urban area is reduced due to long term work zone about 40%, which is significantly affecting on the traffic management. The developed model is useful to predict work zone capacity for the heterogeneous traffic condition of urban area. The developed model will be useful to the traffic planners for suggesting alternative traffic management plan in urban area.

Other Details

Paper ID: IJSRDV5I21566
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 1685-1688

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