id: 06045928
dt: j
an: 06045928
au: He, Jiajia; Hou, Zaien
ti: Ant colony algorithm for traffic signal timing optimization.
so: Adv. Eng. Softw. 43, No. 1, 14-18 (2012).
py: 2012
pu: Elsevier Science Ltd., Oxford
la: EN
cc: 
ut: signal timing optimization; ant colony algorithm (ACA); webster algorithm;
    time delay; number of stops; traffic capacity
ci: 
li: doi:10.1016/j.advengsoft.2011.09.002
ab: Summary: In order to separate the conflict of the traffic flow effectively,
    time delay, number of stops and traffic capacity are chosen as
    performance indexes, and the objective function related to the cycle
    time and the saturation of an intersection is established by using the
    weighting coefficients. Then, based on the uncertainty and convergence
    analysis of ant colony algorithm (ACA), computational experiments are
    conducted and numerical comparisons are made for the values of
    performance indexes achieved by the signal timing optimization problem
    with Webster algorithm, genetic algorithm (GA) and ACA. Numerical
    results show that ACA is a simple and feasible method for signal timing
    optimization problems.
rv: