Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling

Jafaripournimchahi, Ammar; Cai, Yingfeng; Wang, Hai; Sun, Lu; Weng, Jiancheng

doi:10.1155/2022/2253697

Cited by 9 publications

(7 citation statements)

References 81 publications

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“…It has also been used to analyse the car following behaviour and stability of connected and autonomous vehicles (CAVs) [31,32]. However, it fails to capture important features of CAVs in actual traffic scenarios [33]. In addition, it has been integrated into the multi-model open-source vehicular-traffic simulator (MovSim) [34], simulation of urban mobility (SUMO) and PTV VISSIM.…”

Section: Related Workmentioning

confidence: 99%

The effect of visibility on road traffic during foggy weather conditions

Ali,

Khan,

Khattak

et al. 2023

IET Intelligent Trans Sys

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The impact of fog on visibility is a major factor affecting traffic congestion and safety. This paper proposes a microscopic traffic model that captures the features of traffic in foggy weather and characterizes it based on visibility. The intelligent driver (ID) model is based on a constant acceleration exponent and produces similar traffic behaviour for all conditions, which is unrealistic. The performance of the ID and proposed models is evaluated on a 2.2 km ring road for 250 s with a platoon of 51 vehicles. Results are presented which show that the proposed model characterizes traffic realistically with lower acceleration and deceleration compared to the ID model. Further, it does not create stop‐and‐go waves and is stable even during foggy weather. The proposed model can be used to reduce fuel consumption and pollution resulting from traffic congestion.

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Section: Related Workmentioning

confidence: 99%

The effect of visibility on road traffic during foggy weather conditions

Ali,

Khan,

Khattak

et al. 2023

IET Intelligent Trans Sys

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show abstract

“…Later several researchers developed the FVD model considering V2V communication to replicate car following the dynamics of CAV under different traffic scenarios [39][40][41][42][43]. Unfortunately, most of these models are developed to capture car following dynamics of AVs using only the vehicle's trajectory information.…”

Section: Car-following Modelsmentioning

confidence: 99%

“…where 𝜉 0 is an arbitrary constant. Substituting Equation (42) into Equation (40), density solution yields…”

Section: Non-linear Stability Analysismentioning

confidence: 99%

A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles

Jafaripournimchahi

Cai

Wang

et al. 2022

IET Intelligent Trans Sys

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Connected and Autonomous Vehicles (CAVs) can receive various information from surrounding vehicles through Vehicle‐to‐Everything (V2X) communication technologies and adjust their car‐following behaviour accordingly. Although several studies have evaluated the impact of CAVs on traffic flow stability in a small segment of networks, most approaches are focused on their specific applications considering the trajectory information, and there is a lack of studies analyzing the impact of CAVs on a large‐scale network. This paper proposes a novel viscous continuum traffic model considering the anticipation of space headway, the throttle angle, and brake torque information during cooperative car‐following. The methods employed to develop the new car‐following model and its counterpart continuum traffic model have been described. The linear and non‐linear stability analyses of the newly developed model have been conducted to obtain the critical stability factors in small perturbations. Numerical simulations have been carried out to investigate the effect of the anticipation, the throttle angle, and brake torque information on traffic stability, fuel consumption, and exhaust emissions. The numerical results reveal that the anticipation of space headway and the transmission of the throttle angle and brake torque information during cooperative car‐following manoeuvres can improve the traffic flow stability and reduce fuel consumption and emissions.

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“…The first microscopic traffic flow model called follow-the-leader model was developed in 1961 [10]. Recently, there are many researchers derived the microscopic model in terms of velocity or delay or both in order to create a realistic model [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

The fitting of roundabout model with gradient-based minimization

Cheah,

Yeak

2023

J. Phys.: Conf. Ser.

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The objective of this research is to create an appropriate roundabout model for all countries. To date, the four-arm roundabout macroscopic model has been created. In order to ensure the feasibility and suitability of the model for all countries, the fitting process must be implemented since the speed of vehicles varies in each country. Thus, the parameter estimation on the rate of exiting roundabout is to be determined because the mean speed of vehicles is related to the rate of exiting the roundabout. In the minimization process, we have proposed an efficient and reliable framework as it includes the calculation of gradients used in minimization so called the user supplied-gradient minimization, as compared to non-user supplied-gradient minimization. The including of the calculation of gradient is to produce more accurate results by the built-in MATLAB minimization routine for parameter fitting. In this research, five pseudo experiments with numerous parameters are carried out. The rate of exiting the roundabout is set initially in order to compute the Total Travel Time and Total Waiting Time. The simulation showed a highly converged and accurate solution by the user supplied-gradient minimization. Lastly, this parameter estimation can be implemented that will enable the roundabout model to be applied worldwide if there is actual data for Total Travel Time and Total Waiting Time.

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Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling

Cited by 9 publications

References 81 publications

The effect of visibility on road traffic during foggy weather conditions

The effect of visibility on road traffic during foggy weather conditions

A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles

The fitting of roundabout model with gradient-based minimization

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