Vehicular traffic modeling with greedy lane-changing and inordinate waiting

Dailisan, Damian N.; Lim, May

doi:10.1016/j.physa.2019.01.107

Cited by 10 publications

(2 citation statements)

References 24 publications

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“…Meanwhile, cellular automata model was developed rapidly in the 1990s, which is widely used to research the traffic operation through simulation. Some fundamental models about car-following behaviors and lane-changing behaviors under different conditions have been established in details, such as some researches consider the influence of special weather [6], signalized intersection [7], and random and nonrandom deceleration [8]. As for the modeling of bus priority based on actuated signal control at intersections, there are rarely effective simulation models for mixed traffic.…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation on the bus priority based on actuated traffic signal control at intersections

Tian

Wang²,

Wei³

2023

Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022)

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With the rapid development of private vehicles in recent years in China, the traditional bus priority control strategy can’t play a great role in easing heavy traffic anymore. To design a suitable bus priority control scheme to optimize the passing of buses at intersections, while coordinating other traffic movements at the same time, is very significant for urban traffic operation. This paper establishes a bus priority decision model and proposes a decision factor to judge the priority phases that can be calculated from the influence analysis of cars and buses according to delay, queue length and bus arrival rates and other indexes. In addition, a special parameter, named bus response level, is proposed to rank the bus priority applications from different phases. Then the actuated bus priority control process is designed in detail. Some simulation models based on Cellular Automata (CA) theory, such as lane changing model and improved VDR model, traffic elements size and intersection rules are adopted to describe the running behaviors of mixed traffic under this actuated signal control process. The simulation results show that the average delay of buses is obviously lower than that of cars. It means some obvious improvements can be achieved.

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Section: Introductionmentioning

confidence: 99%

Modeling and simulation on the bus priority based on actuated traffic signal control at intersections

Tian

Wang²,

Wei³

2023

Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022)

View full text Add to dashboard Cite

show abstract

“…Slower moving buses and the associated platoon formation can result in the perception that buses cause congestion. Even a few undisciplined bus drivers can often cause traffic jams when their large vehicles straddle multiple lanes [14,15]. Such situations, as well as a lack of understanding of these systems, can lead to proposals by policymakers to ban buses to alleviate congestion.…”

Section: Introductionmentioning

confidence: 99%

Crossover transitions in a bus-car mixed-traffic cellular automata model

Dailisan,

Lim

2020

Preprint

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We modify the Nagel-Schreckenberg (NaSch) cellular automata model to study mixed-traffic dynamics. We focus on the interplay between passenger availability and bus-stopping constraints. Buses stop next to occupied cells of a discretized sidewalk model. By parametrizing the spacing distance between designated stops, our simulation covers the range of load-anywhere behavior to that of well-spaced stops. The interplay of passenger arrival rates and bus densities drives crossover transitions from platooning to non-platooned (free-flow and congested) states. We show that platoons can be dissolved by either decreasing the passenger arrival rate or increasing the bus density. The critical passenger arrival rate at which platoons are dissolved is an exponential function of vehicle density. We also find that at low densities, spacing stops close together induces platooned states, which reduces system speeds and increases waiting times of passengers.

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Crossover transitions in a bus–car mixed-traffic cellular automata model

Dailisan

Lim

2020

Physica A: Statistical Mechanics and its Applications

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Vehicular traffic modeling with greedy lane-changing and inordinate waiting

Cited by 10 publications

References 24 publications

Modeling and simulation on the bus priority based on actuated traffic signal control at intersections

Modeling and simulation on the bus priority based on actuated traffic signal control at intersections

Crossover transitions in a bus-car mixed-traffic cellular automata model

Crossover transitions in a bus–car mixed-traffic cellular automata model

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