Signal timing optimization of urban single-point intersections

WANG Qiu-ping; TAN Xue-long; ZHANG Sheng-rui

Volume 6 Issue 2

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WANG Qiu-ping, TAN Xue-long, ZHANG Sheng-rui. Signal timing optimization of urban single-point intersections[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 60-64.

Citation:

WANG Qiu-ping, TAN Xue-long, ZHANG Sheng-rui. Signal timing optimization of urban single-point intersections[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 60-64.

WANG Qiu-ping, TAN Xue-long, ZHANG Sheng-rui. Signal timing optimization of urban single-point intersections[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 60-64.

Citation:

WANG Qiu-ping, TAN Xue-long, ZHANG Sheng-rui. Signal timing optimization of urban single-point intersections[J]. Journal of Traffic and Transportation Engineering, 2006, 6(2): 60-64.

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Signal timing optimization of urban single-point intersections

1.
School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China
2.
school of Highway, Chang'an University, Xi'an 710064, Shaanxi, China

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Author Bio:
Wang Qiu-ping(1962-), female, professor, doctoral student, 86-29-82205572, wqpll68@sina.com
Received Date: 2005-11-08
Publish Date: 2006-04-25

Abstract

Abstract

In order to mitigate city traffic jam, the traffic flow characteristics and capabilities of urban intersections were analyzed, a nonlinear function model of urban single-point intersections was put forward, in which shortest average delay and stopping time were taken as objectives, and phase effective green time, saturation degree and cycle time length were taken as restrictions, the objective function of the model was solved by genetic algorithm and genetic simulated annealing algorithm. Solved result indicates that average delay is optimized from present 40. 394 s to 10^-3 s by genetic algorithm and genetic simulated annealing algorithm, the average stopping time is reduced and the good benefit value of the function is obtained, the intersection service level is improved from level C to level A. 7 tabs, 6 figs, 8 refs.
- traffic control,
- single-point intersection,
- signal timing optimization,
- nonlinear function model,
- genetic simulated annealing algorithm

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References(8)

References

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