Paper Info
Title
A new traffic route analyzer for commuter's guidance in developing countries: application study in Islamabad, Pakistan.
Abstract
Growth of population in the capital city of Pakistan—Islamabad—is too high. This growth rate has caused a negative impact on the smooth flow of traffic system. The aim of this paper is to provide a solution to facilitate the car-based commuters to pick the route with minimal bottlenecks and to minimize the distance to reach the destination. The proposed solution is to manage and control the traffic system in the city of Islamabad. The current traffic data collection system in Islamabad and other urban areas does not provide timely and reliable data that can be useful to the Regional Transportation Authority for planning activities. To overcome this problem, our approach is based on collecting the missing data using a custom-built mobile app. Our system analyses and manipulates the collected information based on artificial neural network scheme that can indicate the bottlenecks for each route and predicts the shortest route based on the user’s severity levels. To validate our proposed approach, we tested six different randomly selected routes in Islamabad with different bottlenecks.
Year
DOI
Venue
2017
10.1007/s12652-017-0453-0
J. Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
Evolutionary algorithm, Neural network, Nodes, Routes, Traffic flow, Telemetry
Population,Mobile app,Traffic flow,Evolutionary algorithm,Simulation,Computer science,Developing country,Missing data,Artificial neural network,Traffic system
Journal
Volume
Issue
ISSN
8
3
1868-5145
Citations 
PageRank 
References 
0
0.34
5
Authors
6
Name
Order
Citations
PageRank
Wasim Hashmi Syed110.73
Ambreen Jabbar200.34
Maqbool Uddin Shaikh352.79
Ansar-Ul-Haque Yasar411842.31
Davy Janssens523838.08
Stéphane Galland65713.39