Proceedings of Fifth International Conference on Soft Computing for Problem Solving pp 487-495 | Cite as
ITMS (Intelligent Traffic Management System)
Abstract
In the present work, an ITMS (Intelligent Traffic Management System) is used for managing and controlling traffic lights based on photoelectric sensors placed on one side of the road. The suitable space between each sensor is selected by the traffic control authority. As a result, the traffic control authority can supervise vehicle that are running toward a particular traffic direction and can thereby manage transmission of information signal to microcontrollers which are fixed to the traffic control cabinet. An Arduino is a microcontroller which is capable of managing the traffic signals by using the information sent by the infrared sensors. In case of emergency, this system can pass the ministries vehicles, ambulance, and fire brigade buses that oblige urgent opening, i.e., clearance from traffic signal system by using RFID-based technology.
Keywords
Microcontroller (Arduino) IR sensor RFID Traffic Traffic control cabinetReferences
- 1.Lim, G.Y., Kang, J.J., Yousik, H.: The Optimization of Traffic Signal Light using Artificial Intelligence, IEEE (2001)Google Scholar
- 2.Srinivasan, D., Choy, M.C., Cheu, R.L.: Neural Networks for Real-Time Traffic Signal Control, IEEE (2006)Google Scholar
- 3.Karygiannis, A., Phillips, T., Tsibertzopoulos, A.: RFID Security: A Taxonomy of Risk, IEEE (2006)Google Scholar
- 4.R. Engelbrecht, Using Hardware-in-the-Loop Traffic Simulation to Evaluate Traffic Signal Controller Features, IEEE (2001)Google Scholar
- 5.Yang, X., Li, X.: New Method of Traffic Signal control for Modern Roundabout, IEEE (2003)Google Scholar
- 6.Ghaman, R.S., Zhang, L., McHale, G., Stallard, C.: The Role of Traffic Simulation in Traffic Signal Control System Development”, IEEE, 2003.Google Scholar
- 7.Quan, Y., Jin-guang, L., Pei-hua, L., Jian, R., Xiaoming, L.: Dynamic optimization project study between the traffic organization and the traffic signal control of urban traffic. In: World Congress on Computer Science and Information Engineering (2009)Google Scholar
- 8.Kanungo, A., Sharma, A., Singla, C.: Smart Traffic Lights Switching and Traffic Density Calculation using Video Processing, IEEE (2014)Google Scholar
- 9.Lin, S., Chao, K., Lo, C.: Service-Oriented Dynamic Data Driven Application Systems to Traffic Signal Control, IEEE (2010)Google Scholar
- 10.Riley, D., Nellen, G., Barrera, R., Quevedo, J.: Crowd Souring Traffic Simulation to Improve Signal Timing, CCSC (2014)Google Scholar
- 11.Zhang, L., Haas, C., Tighe, S.L.: Evaluating weigh-in-motion sensing technology for traffic data collection. In: Annual Conference of Transportation Association of Canada (2007)Google Scholar
- 12.Aoyama, K.: Universal Traffic Management System (UTMS) in Japan, IEEE (1994)Google Scholar
- 13.Thanasis, Z., Ahmad, A.: A prototype of an integrated advanced traffic management system for the columbus area: an interface between the traffic signal control and the freeway management systems. IEEE (1995)Google Scholar
- 14.Ahmed, S.S., Bahaa, K.S., Mohamad, M.E.: Intelligent cross road traffic management system (ICRTMS), In: 2010 2nd International Conference on Computer Technology and Development (2010)Google Scholar
- 15.Jain, D.K., Sharma, S., Yadav, M.: An optimal and dynamic vehicular traffic management system, ICCCT (2011)Google Scholar