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http://hdl.handle.net/1942/18677
Title: | Analyzing the Real Time Factors: Which Causing the Traffic Congestions and Proposing the Solution for Pakistani City | Authors: | HASHMI SYED, Wasim Sohail YASAR, Ansar JANSSENS, Davy WETS, Geert |
Issue Date: | 2014 | Source: | Procedia Computer Science 32, p. 413-420 | Series/Report: | Procedia Computer Science | Series/Report no.: | 32 | Abstract: | Vehicle ownerships integral part of modern life and traffic congestion an unavoidable inconvenience. The Western countries have a far better control on the pace of number of vehicles on a road matched with supporting infrastructure. In contrast, cash strapped underdeveloped countries have a poorly built and scarce number of main roads with problems compounded by soft car loans, leases and other discounts. As a result several developing countries have been inundated with peripheral complications such as pollution and congestion undermining their economy with enormous energy bills negatively impacting respective economy. Case in point is Pakistan, where depilating infrastructure or absence outright thereof and ever more number of vehicles on the road presents a unique and highly complicated problem. One can term traffic in Sub-Continent as controlled chaos and we plan to develop an organized solution from the chaos. This presents a unique challenge in traffic management. We have developed a smart phone application when the phone is placed in vehicles, provides data for the origin and destination routes. Taking 6 parameters, which we believe mostly impacts the destination arrival time for the driver in Pakistan we propose to develop a model supported by empirical data that will enable driver to select weather they are interested in economy of fuel or economy of time in reaching their destination. We propose to plot time it takes to reach destination versus the 6 factors that determines destination arrival time. The curve will be generated for each route and from the graph median time, standard deviation as well as confidence interval will be computed. Large data will be collected and statistical analysis will be performed to verify the integrity of the model. | Notes: | Syed, WH (reprint author), Natl ICTR&DFund, Islamabad, Pakistan. wasim.syed@ictrdf.org.pk | Keywords: | traffic management; congestion control; ICT | Document URI: | http://hdl.handle.net/1942/18677 | DOI: | 10.1016/j.procs.2014.05.442 | ISI #: | 000361562600050 | Rights: | © 2014 The Authors. Published by Elsevier B.V. Open access under CC BY-NC-ND license. | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2016 |
Appears in Collections: | Research publications |
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1-s2.0-S1877050914006425-main.pdf | Published version | 358.67 kB | Adobe PDF | View/Open |
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