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Fuzzy System and Time Window Applied to Traffic Service Network Problems under a Multi-Demand Random Network

1
Department of Logistics and Shipping Management, Kainan University, Taoyuan 33857, Taiwan
2
Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 300, Taiwan
3
Integration and Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 300, Taiwan
4
College of Electronic and Information Engineering, Foshan University, Foshan 528000, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(5), 539; https://doi.org/10.3390/electronics8050539
Received: 19 April 2019 / Revised: 9 May 2019 / Accepted: 10 May 2019 / Published: 13 May 2019
(This article belongs to the Special Issue Vehicular Networks and Communications)
PDF [979 KB, uploaded 13 May 2019]

Abstract

The transportation network promotes key human development links such as social production, population movement and resource exchange. As cities continue to expand, transportation networks become increasingly complex. A bad traffic network design will affect the quality of urban development and cause regional economic losses. How to plan transportation routes and allocate transportation resources is an important issue in today’s society. This study uses the network reliability method to solve traffic network problems. Network reliability refers to the probability of a successful connection between the source and sink nodes in the network. There are many systems in the world that use network architecture; therefore, network reliability is widely used in various practical problems and cases. In the past, some scholars have used network reliability to solve traffic service network problems. However, the processing of time is not detailed enough to fully express the real user’s time requirements and does not consider that the route traffic will affect the reliability of the entire network. This study improves on past network reliability methods by using a fuzzy system and a time window to construct a network model. Using the concept of fuzzy systems, according to past experience, data or expert predictions to define the degree of flow, time and reliability, can also determine the relationship between these factors. The time window can be adjusted according to the time limit in reality, reaching the limit of the complete expression time. In addition, the network reliability algorithm used in this study is a direct algorithm. Compared with the past indirect algorithms, the computation time is greatly reduced and complex problems can be solved more efficiently.
Keywords: traffic network; network reliability; time window; fuzzy theory traffic network; network reliability; time window; fuzzy theory
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Huang, C.-L.; Huang, S.-Y.; Yeh, W.-C.; Wang, J. Fuzzy System and Time Window Applied to Traffic Service Network Problems under a Multi-Demand Random Network. Electronics 2019, 8, 539.

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