The Optimization of Traffic Signal Control Using LP and NLP

Dae Young Lim; Xuan Zhou; Kil To Chong

doi:10.4028/www.scientific.net/AMM.321-324.2241

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324The Optimization of Traffic Signal Control Using...

The Optimization of Traffic Signal Control Using LP and NLP

Abstract:

This paper develops a new algorithm for the dynamic intersection control based on linear and nonlinear program. A new set of formula based on geometric construction are proposed to estimate the steady-and-oversaturation delay, which occasionally have the only one kind of controllable variable of the green splits. As a dynamic model, it can automatically adjust the split green ratio to achieve the minimal delay.Since the objective function of over-saturation delay is linear and under-saturation delay is nonlinear, the combination of linear and nonlinear program can be applied to either over-saturation or under-saturation situation. The simulation result shows that dynamic allocation of green time using LP combined with NLP can obtain less delay than using single liner programming.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2241-2245

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2241

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Online since:

June 2013

Authors:

Dae Young Lim, Xuan Zhou, Kil To Chong

Keywords:

Delay, Linear, Nonlinear Programming, Objective Function, Traffic Signal, Split Green

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References

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