NCTUns tool for wireless vehicular communication network researches |
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| Authors: | S.Y. Wang C.L. Chou |
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| Affiliation: | 1. School of Computer Science, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor 43600, Malaysia;2. Department of Electrical, Electronics and System Engineering, Faculty of Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor 43600, Malaysia;1. Department of Applied Mathematics, Faculty of Sciences, Holon Institute of Technology, Holon, Israel;2. Optimization, Control and Decision Science, IBM Research, Ireland;3. Faculty of Sciences, Holon Institute of Technology, Holon, Israel;4. Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel;1. Department of Automation, Shanghai Jiao Tong University, Shanghai, China;2. Department of Communication, Shanghai University of Electric Power, Shanghai, China;1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, PR China;2. School of Applied Science, Harbin University of Science and Technology, Harbin 150080, PR China;2. Dept. Electronics, Mathematics and Natural Sciences, Högskolan i Gävle, SE-80176 Gävle, Sweden |
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| Abstract: | Several goals such as improving road safety and increasing transport efficiency are being pursued in intelligent transportation systems (ITS). Wireless vehicular communication is one technology to achieve these goals. Conducting vehicular experiments on the roads is an approach to studying the effectiveness of wireless vehicular communication. However, such an approach is costly, hard-to-control (repeat), dangerous, and infeasible when many vehicles and people are involved in the field trial. In contrast, the simulation approach does not have these problems. It is a very useful approach and complements the field trial approach. This paper presents NCTUns, an open source integrated simulation platform, for wireless vehicular communication network researches. This tool tightly integrates network and traffic simulations and provides a fast feedback loop between them. Therefore, a simulated vehicle can quickly change its driving behavior such as moving speed and direction when it receives a message from the wireless vehicular communication network. This capability is required by several novel ITS applications such as active collision avoidance systems. In this paper, we present the design, implementation, validation, and performance of this tool. |
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