Road traffic routing for mobile application
In urban traffic area such as Klang Valley, many studies are conducted in order to produce a good planning of routing direction from one place to another place by taking into account of reducing the distances and lowering the time travel required to complete the journey as much as possible. The leas...
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my-uum-etd.61652021-03-29T09:14:50Z Road traffic routing for mobile application 2015 Zulkefli, Abu Bakar Mohd Shabli, Ahmad Hanis Che Mohamed Arif, Ahmad Suki Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T58.6-58.62 Management information systems HE Transportation and Communications In urban traffic area such as Klang Valley, many studies are conducted in order to produce a good planning of routing direction from one place to another place by taking into account of reducing the distances and lowering the time travel required to complete the journey as much as possible. The least travel time path, the least travel expense path and the least synthesis expense are considered as well as the shortest travel distance in vehicle navigation system, those different significance path are generally called optimal paths (Pan, Zhang & Wang, 2009). Besides, research interests are growing on how efficiently traffic can be directed in a non-congested manner towards their destinations (Humaun Kabir, Nasre Alam & Kyung Sup, 2013). Therefore, the main idea of this study is to design, develop and test Road Traffic Routing application which is an extension to a prototype system called Traffic Status system. The Traffic Status system is an android based application that collects input of traffic flow information from fixed detection sensors installed at each node in the roadways. By using the sensors that located along the road, the vehicles’ average speed will be collected for formulating a node’s travel time and the Road Traffic Routing application then will use the node’s travel time for planning and suggesting a routing direction for optimal paths. 2015 Thesis https://etd.uum.edu.my/6165/ https://etd.uum.edu.my/6165/1/s813768_01.pdf text eng public https://etd.uum.edu.my/6165/2/s813768_02.pdf text eng public masters masters Universiti Utara Malaysia Fuquan Pan, Lixia Zhang and Fengyuan Wang, 2009. Algorithm for Optimal Path Accounted for Traffic Rules in Vehicle Navigation System. International Conf. on Industrial and Information System. Dissanayake, D. and T. Morikawa, 2002. Household travel behavior in developing countries: Nested logit model of vehicle ownership, mode choice, and trip chaining. Trans. Res. Board, 1805: 45-52. Morikawa, T., T. Yamamoto, D. Dissanayake, N. Sanko and S.Kurauchi et al., 2001. Travel Behavior Analysis and its Implication to Urban Transport Planning for Asia Cities: Case Studies of Bangkok, Kuala Lumpur, Manila and Nagoya. ICRA, Nagoya University, Japan. Foad Shokri, May-Yen Chu, Hamid Reza Mkhtarian, Riza Atiq O.K. Rahmat and Amiruddin Ismail, 2009. Best Route Based on Fuel-Economy. European Journal of Scientific Reasearch, vol.32, 177-186 G.R. Jagadeesh & T. Srikanthan, 2002. Heuristic Techniques for Accelerating Hierarchical Routing on Road Networks. IEEE Transactions on Intelligent Transportation Systems, vol.3, 301-309 T.D. Hau, 2005. Economic fundamentals of road pricing: a diagrammatic analysis, Part I-Funcamentals. Transportation, vol.1, 81-117 Y. Zhao and T. E. Weymouth (1991). An adaptive route guidance algorithm for intelligent vehicle highway system. Proc. American Control Conf., vol.3, 2568-2573 Hatem F. Halaoui, 2009. Smart Traffic Systems: Dynamic A* Traffic in GIS Driving Paths Applications. Lin, H. E. & Zito, R, 2005. A review of travel-time prediction in transport and logistics. In Proceedings of the Eastern Asia Society for transportation studies, vol.5, 1433-1448 |
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Universiti Utara Malaysia |
collection |
UUM ETD |
language |
eng eng |
advisor |
Mohd Shabli, Ahmad Hanis Che Mohamed Arif, Ahmad Suki |
topic |
T58.6-58.62 Management information systems HE Transportation and Communications |
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T58.6-58.62 Management information systems HE Transportation and Communications Zulkefli, Abu Bakar Road traffic routing for mobile application |
description |
In urban traffic area such as Klang Valley, many studies are conducted in order to produce a good planning of routing direction from one place to another place by taking into account of reducing the distances and lowering the time travel required to complete the journey as much as possible. The least travel time path, the least travel expense path and the least synthesis expense are considered as well as the shortest travel distance in vehicle navigation system, those different significance path are generally called optimal paths (Pan, Zhang & Wang, 2009). Besides, research interests are growing on how efficiently traffic can be directed in a non-congested manner towards their destinations (Humaun Kabir, Nasre Alam & Kyung Sup, 2013). Therefore, the main idea of this study is to design, develop and test Road Traffic Routing application which is an extension to a prototype system called Traffic Status system. The Traffic Status system is an android based application that collects input of traffic flow information from fixed detection sensors installed at each node in the roadways. By using the sensors that located along the road, the vehicles’ average speed will be collected for formulating a node’s travel time and the Road Traffic Routing application then will use the node’s travel time for planning and suggesting a routing direction for optimal paths. |
format |
Thesis |
qualification_name |
masters |
qualification_level |
Master's degree |
author |
Zulkefli, Abu Bakar |
author_facet |
Zulkefli, Abu Bakar |
author_sort |
Zulkefli, Abu Bakar |
title |
Road traffic routing for mobile application |
title_short |
Road traffic routing for mobile application |
title_full |
Road traffic routing for mobile application |
title_fullStr |
Road traffic routing for mobile application |
title_full_unstemmed |
Road traffic routing for mobile application |
title_sort |
road traffic routing for mobile application |
granting_institution |
Universiti Utara Malaysia |
granting_department |
Awang Had Salleh Graduate School of Arts & Sciences |
publishDate |
2015 |
url |
https://etd.uum.edu.my/6165/1/s813768_01.pdf https://etd.uum.edu.my/6165/2/s813768_02.pdf |
_version_ |
1747828031055986688 |