TY - GEN
T1 - Design and implementation of traffic signal optimization hardware-in-loop simulation system
AU - Liu, Yan
AU - Dai, Yaping
AU - Ma, Lingling
AU - Meng, Liang
PY - 2009
Y1 - 2009
N2 - A distributed regional Traffic Signal Optimization Hardware-in-loop Simulation (TSOHS) system is designed, which aims at improving the operating ability for postgraduate students. The main components of the TSOHS system include 1 Center Server, 5 local intersection controllers and 120 traffic lights. The traffic lights can be controlled by each local intersection controller in defined control strategies, the defined control strategies in local intersection controller will be adjusted in Center Server through dynamic optimization method online. The communication among local intersection controllers and Center Server adopts RS-485 and zigbee patterns. The optimization algorithm programmed in C language by students can be put in the Center Server, and running in TSOHS, so that the validity of the traffic optimization algorithms can be tested. Two fuzzy optimization algorithms are used to test TSOHS. Experimental results show TSOHS is effective to accomplish traffic signal optimization simulation.
AB - A distributed regional Traffic Signal Optimization Hardware-in-loop Simulation (TSOHS) system is designed, which aims at improving the operating ability for postgraduate students. The main components of the TSOHS system include 1 Center Server, 5 local intersection controllers and 120 traffic lights. The traffic lights can be controlled by each local intersection controller in defined control strategies, the defined control strategies in local intersection controller will be adjusted in Center Server through dynamic optimization method online. The communication among local intersection controllers and Center Server adopts RS-485 and zigbee patterns. The optimization algorithm programmed in C language by students can be put in the Center Server, and running in TSOHS, so that the validity of the traffic optimization algorithms can be tested. Two fuzzy optimization algorithms are used to test TSOHS. Experimental results show TSOHS is effective to accomplish traffic signal optimization simulation.
KW - Fuzzy control
KW - Hardware-in-loop
KW - Traffic signal
UR - http://www.scopus.com/inward/record.url?scp=72049084281&partnerID=8YFLogxK
U2 - 10.1109/ICICTA.2009.598
DO - 10.1109/ICICTA.2009.598
M3 - Conference contribution
AN - SCOPUS:72049084281
SN - 9780769538044
T3 - 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
SP - 550
EP - 553
BT - 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
T2 - 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Y2 - 10 October 2009 through 11 October 2009
ER -
