Time-Gap Based Traffic Model for Vehicular Traffic Flow

Cho, Seokheon; Cruz, R.L.; Rao, Ramesh R.; Badii, Anush

doi:10.1109/vtcspring.2014.7023125

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…A. Simulation Scenario [9]. From this, we can determine the critical density ρ c,m , jam density ρ jam , and maximum flow q max,m for each section using a time-gap based traffic model.…”

Section: Analysis Results and Discussionmentioning

confidence: 99%

“…2 explains a triangular fundamental diagram proposed by Newell [8] with three principal parameters: the maximum free-flow velocity in a free-flow region, a typical safety length of vehicles, and a mean value of the time-gap of traffic data under congested conditions [9]. Since this time-gap based traffic model is not only supported by empirical traffic measurements but is also simple, we will use this model for estimating traffic flow and providing optimal coordinated ramp-metering control for achieving maximum system throughput.…”

Section: B Time-gap Based Traffic Modelmentioning

confidence: 99%

“…Newell [8] proposed a triangular flow-density fundamental diagram as a simpler alternative to the LWR model. As an evolved traffic model, a time-gap based traffic model verified by empirical traffic data explains the Newell model with both a mean value of the time-gap and a typical safety length of vehicles in a congestion regime [9].…”

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confidence: 99%

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Coordinated Ramp-Metering Control Using a Time-Gap Based Traffic Model

Cho

Rao

2014

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

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Abstract-Numerous studies have examined ramp-metering control to relieve highway congestion. Unlike previous research, this paper presents two different optimization problems for maximum system capacity over a highway corridor, using both a timegap based traffic model describing traffic flow and the limited traffic data measured by existing field facilities. Our proposed algorithms are coordinated ramp-metering controls controlling the metered rates at system-wide entrance ramps. The originutilization relationship is taken into consideration in providing the mathematical derivation for the steady-state optimization problem. This scheme regulates on-ramp flows so as to keep traffic densities along the system below their critical densities. To prevent an increase in adjacent street traffic, which might be caused by this scheme, a time-variant linear programming problem is provided with on-ramp queue control and traffic flow estimation. Comparative simulation results for two optimization problems are presented.

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“…A. Simulation Scenario [9]. From this, we can determine the critical density ρ c,m , jam density ρ jam , and maximum flow q max,m for each section using a time-gap based traffic model.…”

Section: Analysis Results and Discussionmentioning

confidence: 99%

Section: B Time-gap Based Traffic Modelmentioning

confidence: 99%

See 1 more Smart Citation

Coordinated Ramp-Metering Control Using a Time-Gap Based Traffic Model

Cho

Rao

2014

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

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“…where L is the average length of the vehicles, v h,l is the average speed, and ∆t saf e h,l is the average safe time headway [33]. From density ρ h,l , we can compute the…”

Section: Model Parameter Calibrationmentioning

confidence: 99%

Mobility and connectivity in highway vehicular networks: A case study in Madrid

Gramaglia

Trullols‐Cruces

Naboulsi

et al. 2016

Computer Communications

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The performance of protocols and architectures for upcoming vehicular networks are commonly investigated by means of computer simulations, due to the excessive cost and complexity of large-scale experiments. Dependable and reproducible simulations are thus paramount to a proper evaluation of vehicular networking solutions. Yet, we lack today a reference dataset of vehicular mobility scenarios that are realistic, publicly available, heterogeneous, and that can be used for networking simulations straightaway. In this paper, we contribute to the endeavor of developing such a reference dataset, and present original synthetic traces that are generated from high-resolution real-world traffic counts. They describe road traffic in quasi-stationary state on three highways near Madrid, Spain, for different time-spans of several working days. To assess the potential impact of the traces on networking studies, we carry out a comprehensive analysis of the vehicular network topology they yield. Our results highlight the significant variability of the vehicular connectivity over time and space, and its invariant correlation with the vehicular density. We also underpin the dramatic influence of the communication range on the network fragmentation, availability, and stability, in all of the scenarios we consider.

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“…There have been a large number of research efforts made to study the traffic flow characteristics up to now; however, they mainly focused on vehicle traffic flow. It is a common method to establish traffic flow models to analyze traffic operation phenomena and traffic congestion rules, [3][4][5] particularly in the field of intelligent transportation system based on information guidance. A series of route guidance algorithms, traffic guidance information release strategies, and optimal location of traffic guidance information releasing devices were proposed.…”

Section: Introductionmentioning

confidence: 99%

Guidance control strategy for air traffic flow in terminal areas

Zhang

Yang

Fan

et al. 2016

Advances in Mechanical Engineering

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This article researches on the characteristics of air traffic flow with guidance information to improve operation efficiency and safety for terminal control areas. First, several microscopic air traffic flow models are proposed based on aircraft's behavior and operation rules in terminal areas. Second, a traffic flow guidance strategy is developed to optimize aircraft's flight routes and velocities with several guidance decision factors, which include guidance strength, node saturation, runway coordinate coefficient, and so on. Finally, the proposed guidance strategy is verified using simulation with an airport terminal area in China. The simulation results show that the proposed guidance strategy helps in controlling the air traffic flow in a more safe, smooth, and efficient manner by changing the relationship among traffic flow parameters. In addition, the average arrival delays and the average departure delays decrease by 56.3% and 29.4%, respectively, and the total number of conflict resolution behavior also decreases remarkably. It is also found that the runway coordinate coefficient has an important influence on optimization results, and that a certain runway coordination coefficient value (2.5) can help minimize air traffic delays. These results indicate that the proposed guidance strategy helps to remarkably improve air traffic operation safety and efficiency in the terminal area.

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Time-Gap Based Traffic Model for Vehicular Traffic Flow

Cited by 4 publications

References 7 publications

Coordinated Ramp-Metering Control Using a Time-Gap Based Traffic Model

Coordinated Ramp-Metering Control Using a Time-Gap Based Traffic Model

Mobility and connectivity in highway vehicular networks: A case study in Madrid

Guidance control strategy for air traffic flow in terminal areas

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