TY - GEN
T1 - Adaptive Traffic Lights through Traffic Density Calculation on Road Pattern
AU - Pratama, Billie
AU - Christanto, Josua
AU - Hadyantama, Muhammad Taris
AU - Muis, Abdul
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Traffic jam is a problem that is often faced by people especially those living in crowded cities, which is wasting time and money. Mainly, traffic light has been the common cause for traffic jam. Almost all traffic lights that caused traffic jam, work conventionally with timer. This ineffective method sometime needs Police's intervention to reduce traffic jam. Basically, Police rules traffic based on traffic density. Indeed, this paper proposes adaptive traffic lights to control its timing through traffic density calculation on road pattern. The traffic density is obtained by using image processing on several road pattern. Later, the traffic density is utilized to calculate timing of the traffic light. There is a server that collects the data and controls the traffic light operations in a crossroad. The entire algorithms, including the calculation of traffic density and timing of traffic light are validated through real road condition. The results show that traffic density detection system has good accuracy and timing of traffic light is successfully calculated.
AB - Traffic jam is a problem that is often faced by people especially those living in crowded cities, which is wasting time and money. Mainly, traffic light has been the common cause for traffic jam. Almost all traffic lights that caused traffic jam, work conventionally with timer. This ineffective method sometime needs Police's intervention to reduce traffic jam. Basically, Police rules traffic based on traffic density. Indeed, this paper proposes adaptive traffic lights to control its timing through traffic density calculation on road pattern. The traffic density is obtained by using image processing on several road pattern. Later, the traffic density is utilized to calculate timing of the traffic light. There is a server that collects the data and controls the traffic light operations in a crossroad. The entire algorithms, including the calculation of traffic density and timing of traffic light are validated through real road condition. The results show that traffic density detection system has good accuracy and timing of traffic light is successfully calculated.
KW - adaptive traffic lights
KW - image processing
KW - traffic density
KW - traffic jam
UR - http://www.scopus.com/inward/record.url?scp=85069184615&partnerID=8YFLogxK
U2 - 10.1109/iCAST1.2018.8751540
DO - 10.1109/iCAST1.2018.8751540
M3 - Conference contribution
T3 - Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018
SP - 82
EP - 86
BT - Proceedings - 2018 International Conference on Applied Science and Technology, iCAST 2018
A2 - Al Rasyid, M. Udin Harun
A2 - Tjahjono, Anang
A2 - Anisah, Ida
A2 - Anggriawan, Dimas Okky
A2 - Murdianto, Farid Dwi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Applied Science and Technology, iCAST 2018
Y2 - 26 October 2018 through 27 October 2018
ER -
