Pedestrian Gap Acceptance Behavior at Un-Signalized Intersections under Mixed Traffic Conditions- A Case Study at Dukem City, Ethiopia

Author:

Shanko Samuel Sileshi1,Reddy Raju Ramesh1,Torban Jiregna Chalchisa1

Affiliation:

1. Arba Minch University

Abstract

Abstract

Transportation System is the most convenient type of making several arrangements for both vehicles and pedestrians to achieve a smooth flow of traffic on the road. The provision of appropriate pedestrian facilities at the desired location as well as increased pedestrian safety while crossing the road are the main goals of the analysis of pedestrians at Un-Signalized crossroads. In Dukem City, one pedestrian follows the other pedestrians at Un-Signalized intersections when crossing the road. The present study is aimed to model and analysis the gap acceptance behavior of pedestrians at Un-Signalized intersections under mixed traffic conditions in Dukem City. Three Un-signalized Intersections namely ‘Qera’, ‘Qayamba’, ‘Misraq ber’ in Dukem city has been selected on the bases of pilot study and pedestrian- traffic data at the study area. Pedestrian Gap acceptance studies are conducted at the selected study locations and the related data such as pedestrian volume, gaps accepted, rejected, their waiting time, age, gender, headway, traffic volume, speed and road geometry at the respective study locations are collected by video graphic method. A total number of 7200 pedestrian gaps are observed cumulatively in all the study locations, for the purpose of analysis and modeling. Multiple Regression Model is developed from the collected data to analyze the gap acceptance behavior of the pedestrians at un-signalized Intersections at the selected study locations in Dukem City. The developed model is validated and found good fitness with R2 value more than 0.9. The results obtained from the model may be useful for predicting the pedestrian behavior that will be useful to implement pedestrian safety measures at the selected locations. The maximum and minimum pedestrian waiting times recorded at the study locations are found to be varied between 59.9 sec to 16.8 sec respectively.

Publisher

Research Square Platform LLC

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