An Algorithm for Predicting the Speed of Traffic Light Violators

Iswanjono Iswanjono, Bagio Budiardjo, Kalamullah Ramli

Abstract


The tracking of vehicles using RFID was developed consider three major problems, i.e. traffic signal timing, congestion on road and theft of vehicles. This paper describes an algorithm for predicting the speed of traffic light violators. The novel algorithm is implemented in the form of a simulation program. The traffic light system is equipped RFID reader as the main tool for identifying the vehicle’s RFID tags. In the simulation, the vehicle’s ID is generated using a random number generation. The distribution of the vehicle’s numbers is uniform and the expected number of vehicles violated the traffic light is not more than 3 % of the total number generated. The timing accuracy for speed traffic lights violator is 100 milli seconds. From the simulation conducted, the algorithm has performed as expected. It is able to predict the speed of traffic light violators ranging from 5 km/h up to 80 km/h in real-time.


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References


Iswanjono. Centralized Traffic Light Network Controller. Proceeding of SNTRI 2007. Institute of Indonesia Technology. Serpong, Indonesia, 2007: 101-106.

Ngo-Quoc K, Zhu K, Guideline For Maintenance Of Traffic Signal Actuation At Signalized Intersections With Non-Intrusive Technologies. Chapter II of Research Report by Traffic Engineering & Operations Office Florida Department of Transportation dan Department of Electrical and Computer Engineering College of Engineering - Florida State University. October 2003.

Weinstein R. RFID: A Technical Overview and Its Application to the Enterprise. IT Pro. May|Juni 2005: 27-33.

Karygiannis T, Eydt B, Barber G, Bunn L. Guidelines for Securing Radio Frequency Identification (RFID) Systems. National Institute of Standards and Technology (NIST) Special Publication 800-98. Section 3: RFID Applications and Application Requirements. April 2008.

Al-Khateeb KAS, Johari JAY, Al-Khateeb WF. Dynamic Traffic Light Sequence Algorithm Using RFID. Journal of Computer Science. 2008; 4(7): 517-524.

Solic P, Rozic N, Marinovic S. RFID-Based Visitors Modeling for Galleries using Markov Model, Proceeding of 2009 10th International Conference on Telecommunications (ConTel 2009). Zagreb, Croatia. 2009: 105-110.

Zhang Y. RFID-Based Tracking in Supporting Real-Time Urban Traffic Information. IEEE Proceeding of 2009 Fifth International Joint Conference on INC, IMS and IDC. Shanghai. 2009: 657-659.

Pandit AA, Talreja J, Mundra AK, RFID Tracking System for Vehicle (RTSV). IEEE Proceeding of 2009 First International Conference on Computational Intelligence, Communication System and Networks. Mumbai. 2009: 160-165.

Zhu H, Zhu Y. HERO: Online Real-Time Vehicle Tracking. IEEE Transactions on Parallel and Distributed Systems. 2009; 20(5): 740-752.

Gieck K. Collection of Technical Formulae (Kumpulan Rumus Teknik). Jakarta: PT. Pradnya Paramita. 2000: 142.

Jiang W, Yu D, Ma Y. A Tracking Algorithm in RFID Reader Network. Proceedings of the Japan-China Joint Workshop on Frontier of Computer Science and Technology (FCST'06). Tokyo. 2006: 164-171.

Iswanjono, Budiardjo B, Ramli K, Simulation for RFID-Based Red Light Violation Dectection: Violation Detection And Flow Prediction. Proceeding of IEEE Conference: Second International Conference on Computer Research and Development (ICCRD 2010). Kuala Lumpur. 2010: 742-746.




DOI: http://doi.org/10.12928/telkomnika.v9i1.645

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