Control Strategies for Oversaturated Traffic

Lo, Hong Kam; Chow, Ahf

doi:10.1061/(asce)0733-947x(2004)130:4(466)

Cited by 89 publications

(43 citation statements)

References 9 publications

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“…Therefore, it is necessary to mitigate this oversaturation phenomenon in evacuation. In fact, many studies regarding signal optimization have been conducted in order to resolve the intersection oversaturation problem by mathematical planning or iterative simulation (8)(9)(10)(11)(12). Gazis et al (1964) is one of the first studies to do the signal optimization at a single oversaturated intersection (8).…”

Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

“…These two means were combined to overcome the aforementioned limitations. Unlike such heuristic strategy, Lo et al (2004)'s mixed-integer linear programming and Girianna et al (2004)'s nonlinear programming can attain global optimal signal parameters (10)(11). However, many of them focus on solving the global optimal signal parameters and thus need long computational time.…”

Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

See 1 more Smart Citation

Proactive Control for Oversaturation Mitigation on Evacuation Network: a Multi-Agent Simulation Approach

Huang¹,

Zheng²,

Ma³

et al. 2016

IJCIS

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Using a multi-agent simulation approach composing of evacuee, cell, and signal, this study aims to proactively curb the oversaturation spread in evacuation and improve the evacuation efficiency. The specific innovation lies in the en-route path choice model and oversaturation control model. A logit model incorporating fuzzy multi-attribute utility is used to describe the path choice. A three-threshold throttling strategy is proposed to assign signal parameters for oversaturated intersections. A case study demonstrates that the multi-attribute utility performs effectively in the presentation of uncertain route-choice factors under evacuation background. The throttling strategy can decrease the total evacuation time by 7.6% in the supposed scenario.

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Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

Proactive Control for Oversaturation Mitigation on Evacuation Network: a Multi-Agent Simulation Approach

Huang¹,

Zheng²,

Ma³

et al. 2016

IJCIS

View full text Add to dashboard Cite

show abstract

“…Lo and Chow (122) used a SGA with fitness scaling to compare optimal static and dynamic signal timing policies on a three signal arterial. Optimization of phasing was not considered.…”

Section: Genetic Algorithms In Traffic Signal Optimizationmentioning

confidence: 99%

Advances in Genetic Algorithm Optimization of Traffic Signals

Kesur

2009

J. Transp. Eng.

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Combining the improvements, delay reductions between 13%-32% were obtained over the standard approaches. A coding scheme allowing for complete optimization of signal phasing is proposed and a statistical model for comparing genetic algorithm optimization efficiency on stochastic functions is also introduced. Alternative delay measurements, amendments to genetic operators and modifications to the CHC algorithm are also suggested.

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“…A model of traffic flow, which is widely accepted in the traffic management community [7] might be used for this. The length of the street interval is equal to the distance that a single vehicle travels in one time step at free-flow speed.…”

Section: Time Of Entering Next Cellmentioning

confidence: 99%