Signal coordination control optimization model of intersection and cross walk

CHEN Xiao-hong; QIAN Da-lin; HUANG Jun-hong

doi:10.19818/j.cnki.1671-1637.2011.01.017

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CHEN Xiao-hong, QIAN Da-lin, HUANG Jun-hong. Signal coordination control optimization model of intersection and cross walk[J]. Journal of Traffic and Transportation Engineering, 2011, 11(1): 100-106. doi: 10.19818/j.cnki.1671-1637.2011.01.017

Citation:

CHEN Xiao-hong, QIAN Da-lin, HUANG Jun-hong. Signal coordination control optimization model of intersection and cross walk[J]. Journal of Traffic and Transportation Engineering, 2011, 11(1): 100-106. doi: 10.19818/j.cnki.1671-1637.2011.01.017

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Signal coordination control optimization model of intersection and cross walk

doi: 10.19818/j.cnki.1671-1637.2011.01.017

CHEN Xiao-hong^{1, 2
,},
QIAN Da-lin^{1, 2
,},
HUANG Jun-hong^{1, 2}

1.
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
2.
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China

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Author Bio:
CHEN Xiao-hong (1982-), female, doctoral student, +86-10-51687141, 08114215@bjtu.edu.cn

QIAN Da-lin (1963-), female, professor, PhD, +86-10-51687141, dlqian@bjtu.edu.cn
Received Date: 2010-10-09
Publish Date: 2011-02-25

Abstract

Abstract

The effect of pedestrian crossing on road traffic flow was analysed, and the formulae of average delaies of vehicles at the imports of intersection were determined. A signal coordination control optimization model between intersection and cross walk was built based on arterial road coordinate control systems. The mininum total delay and maximum capacity of intersection were taken as objective functions, the shortest crossing times were taken as constrain conditions, and the green times of phases and offsets were taken as control parameters. As the parameters were co-optimized, genetic algorithm was resorted to solve the model. Computation result shows that compared with actual datat, total delay reduces by 35.4%, and traffic capacity increases by 0.1%. Total delay reduces by 81.3% compared with traditional Webster method. So the model is feasible and can improve the traffic efficiency of intersection.
- traffic signal control,
- road intersection,
- cross walk,
- signal coordination control,
- parameters co-optimization,
- genetic algorithm

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References(24)

References

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