Soft computing in big data intelligent transportation systems |
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| Affiliation: | 1. School of Computer Science, University of Science and Technology of China, Hefei 230027, China;2. School of Software Engineering, University of Science and Technology of China, Suzhou 215123, China;3. Department of Electronics Engineering and Telecommunications, Faculty of Engineering, State University of Rio de Janeiro, Brazil;1. Department of Computer Science, Mohammad Ali Jinnah University, Islamabad, Pakistan;2. School of Innovation, Design and Engineering, Mlardalen University, Sweden;3. Department of Information Systems, College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia;1. LaRI Lab, University of Maroua, Maroua, Cameroon;2. LI-PaRAD Lab, Université Paris Saclay, University of Versailles Saint-Quentin-en-Yvelines, Versailles, France;3. LE2I Lab-UMR CNRS 6306, University of Burgundy, Dijon, France;4. FEMTO-ST Lab-UMR CNRS 6174, University of Franche-Comte, Besançon, France;5. Department of Apply Mathematics and Computer Science, University of Ngaoundere, Meiganga, Cameroon |
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| Abstract: | The academic and industry have entered big data era in many computer software and embedded system related fields. Intelligent transportation system problem is one of the important areas in the real big data application scenarios. However, it is posing significant challenge to manage the traffic lights efficiently due to the accumulated dynamic car flow data scale. In this paper, we present NeverStop, which utilizes genetic algorithms and fuzzy control methods in big data intelligent transportation systems. NeverStop is constructed with sensors to control the traffic lights at intersection automatically. It utilizes fuzzy control method and genetic algorithm to adjust the waiting time for the traffic lights, consequently the average waiting time can be significantly reduced. A prototype system has been implemented at an EBox-II terminal device, running the fuzzy control and genetic algorithms. Experimental results on the prototype system demonstrate NeverStop can efficiently facilitate researchers to reduce the average waiting time for vehicles. |
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| Keywords: | Big data Intelligent transportation system Fuzzy control Genetic algorithm |
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