Pre-timed and coordinated traffic controller systems based on AVR microcontroller

被引：0
作者：
Kurniawan, Freddy [1 ]
Dermawan, Denny [1 ]
Dinaryanto, Okto [2 ]
Irawati, Mardiana [3 ]
机构：
[1] Department of Electrical Engineering, Sekolah Tinggi Teknologi Adisutjipto, Jln. Janti, Blok R, Kompleks Lanud Adisutjipto, Yogyakarta
[2] Department of Mechanical Engineering, Sekolah Tinggi Teknologi Adisutjipto, Jln. Janti, Blok R, Kompleks Lanud Adisutjipto, Yogyakarta
[3] Department of Informatics Engineering, Sekolah Tinggi Teknologi Adisutjipto, Jln. Janti, Blok R, Kompleks Lanud Adisutjipto, Yogyakarta
来源：
Kurniawan, Freddy | 1600年 / Universitas Ahmad Dahlan卷 / 12期
关键词：
AVR microcontroller; Coordinated; Pre-timed; Traffic controller;
D O I：
10.12928/TELKOMNIKA.v12i4.497
中图分类号：
学科分类号：
摘要：
The major weaknesses of traffic controllers in Indonesia are unable to accommodate the variety of traffic volume and unable to be coordinated. To solve the problem, a pre-timed and coordinated traffic controller system is built. The system consists of a master and a local controller. Each controller has a database containing signal-timing plans. To synchronize the signal-timing, the master controller sends the synchronization data to the local controller wirelessly, and the local controller can modify a cycle length by adding or subtracting the green interval of any phases. The transition time for synchronization only takes one to several cycles. The algorithm for controlling the traffic including coordination can be done by an AVR microcontroller. Memory usage of the microcontroller is lower than 10%, meanwhile the CPU utilization is no more than 1%, and thus the systems could be widely developed.
引用
收藏
页码：787 / 794
页数：7
相关论文
共 13 条
  • [1] Fazli S., Mohammadia S., Rahmani M., Neural Network based Vehicle Classification for Intelligent Traffic Control, International Journal of Software Engineering & Applications, 3, 3, pp. 17-22, (2012)
  • [2] Khan B.A., Lai N.S., An Advanced Fuzzy Logic based Traffic Controller, International Journal of Innovation in the Digital Economy, 5, 1, pp. 31-40, (2014)
  • [3] Askerzade I.N., Mahmood M., Control the Extension Time of Traffic Light in Single Junction by Using Fuzzy Logic, International Journal of Electrical & Computer Sciences IJECS-IJENS, 10, 2, pp. 48-55, (2010)
  • [4] Zhu H., Fan H., Guo S., Moving Vehicle Detection and Tracking in Traffic Images based on Horizontal Edges, TELKOMNIKA Indonesian Journal of Electrical Engineering, 11, 11, pp. 6477-6483, (2013)
  • [5] Xie X.F., Smith S., Barlow G., Schedule-Driven Coordination for Real-Time Traffic Network Control, Proceedings 22nd International Conference on Automated Planning and Scheduling (ICAPS), pp. 323-331, (2012)
  • [6] Shamshirband S.S., A Distributed Approach for Coordination between Traffic Lights based on Game Theory, The International Arab Journal of Information Technology, 9, 2, pp. 148-153, (2012)
  • [7] Wu L., Yang L., Liu H., Zhang Y., Bee Inspired Zonal Vehicle Routing Algorithm in Urban Traffic, TELKOMNIKA Indonesian Journal of Electrical Engineering, 12, 9, pp. 6699-6710, (2014)
  • [8] Dotoli M., Fanti M.P., Meloni C., Coordination and Real Time Optimization of Signal-timing plans for Urban Traffic Control, IEEE International Conference on Networking, Sensing and Control, 2, pp. 1069-1074, (2004)
  • [9] Dobre C., Using Intelligent Traffic signals to Reduce Vehicle Emissions, International Journal of Innovative Computing, Information and Control, 8, 9, pp. 6283-6302, (2012)
  • [10] Wang K., Huang L., Zhai Y., Wang Y., Traffic Signal Synchronization in Double Rings Road Structure, Journal of Information & Computational Science, 9, 2, pp. 395-402, (2012)
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