Title :
An evolutionary algorithm for network-wide real-time optimization of traffic signal control
Author :
Braun, Robert ; Kemper, Carsten
Author_Institution :
Dept. of Traffic Eng. & Control, Tech. Univ. Munchen, München, Germany
fDate :
June 29 2011-July 1 2011
Abstract :
The evolutionary algorithm for network-wide real-time optimization of traffic signal control GALOP is presented. It optimizes the signal timing plans of all traffic lights within a road network. All control parameters - cycle length, offsets, phase sequences and start-times of phase transitions - can be optimized simultaneously. GALOP has been integrated into the adaptive network control system BALANCE, replacing the former hill-climbing algorithm. It was put into operation for the first time in June 2008.
Keywords :
evolutionary computation; optimisation; traffic control; traffic information systems; adaptive network control system BALANCE; evolutionary algorithm; hill-climbing algorithm; network-wide real-time optimization; signal timing plan; traffic lights; traffic signal control GALOP; Adaptive systems; Algorithm design and analysis; Detectors; Evolutionary computation; Optimization methods; Timing;
Conference_Titel :
Integrated and Sustainable Transportation System (FISTS), 2011 IEEE Forum on
Conference_Location :
Vienna
Print_ISBN :
978-1-4577-0990-6
Electronic_ISBN :
978-1-4577-0991-3
DOI :
10.1109/FISTS.2011.5973629
