Modeling Traffic Flow on Urban Highways: the Application of Cellular Automata and Nested Logit

Rassafi, Amir Abbas; Davoodnia, Pirooz; Pourmoallem, Naser

doi:10.1007/s13369-012-0277-3

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…The effects of the lane-changing behavior on the distribution of vehicles, velocity, flow, and headway were investigated. Rassafi, et al [39] modeled a drivers' behavior on a basic freeway by nesting the logit model simulation rules into the CA model. The existing systems showed that focused drivers select their next position in accordance with the maximum safe speed.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Lane-Changing Management Strategies at On-Ramp and Off-Ramp Pair Areas Based on Cellular Automaton

Sun

Zhao

et al. 2021

IEEE Access

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In urban expressways, when an on-ramp and off-ramp pair are closely spaced, the operational condition of the downstream diverge area influences that of the adjacent upstream merge area because of the weaving movement and queuing. Although lane-changing management schemes have often been used in practice, the quantification effect of specific management schemes has not been studied in detail. In this paper, a new cellular automaton model that fits in an on-ramp and off-ramp pair area was established, in which three types of lane change behaviors and eight types of lane-changing management schemes are considered. Sensitivity analysis of the simulation results was conducted to validate the effectiveness of the lane-changing management schemes, from which the optimal schemes under various geometric and traffic conditions are recommended. Results show forcing the off-ramp vehicles to change lanes in advance by using lane markings results in higher operational efficiency in most cases. INDEX TERMS Cellular automaton model, lane-changing management, freeway, operational simulation.

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Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Lane-Changing Management Strategies at On-Ramp and Off-Ramp Pair Areas Based on Cellular Automaton

Sun

Zhao

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Rassafi et al . [49] modelled a drivers' behaviour on a basic freeway by nesting the logit model simulation rules into the CA model. The existing systems showed that focused drivers select their next position in accordance with the maximum safe speed.…”

Section: Introductionmentioning

confidence: 99%

Effect of lane allocation on operational efficiency at weaving areas based on a cellular automaton model

Zhao

et al. 2019

IET Intelligent Transport Systems

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Use of Microscopic Traffic Simulation Software to Determine Heavy-Vehicle Influence on Queue Lengths at Toll Plazas

2019

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Modeling Traffic Flow on Urban Highways: the Application of Cellular Automata and Nested Logit

Cited by 4 publications

References 17 publications

Modeling and Simulation of Lane-Changing Management Strategies at On-Ramp and Off-Ramp Pair Areas Based on Cellular Automaton

Modeling and Simulation of Lane-Changing Management Strategies at On-Ramp and Off-Ramp Pair Areas Based on Cellular Automaton

Effect of lane allocation on operational efficiency at weaving areas based on a cellular automaton model

Use of Microscopic Traffic Simulation Software to Determine Heavy-Vehicle Influence on Queue Lengths at Toll Plazas

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