Traffic safety evaluation of mixed traffic flow considering the maximum platoon size of connected automated vehicles

Jiang, Yangsheng; Ren, Tingting; Ma, Yanhe; Wu, Yunxia; Yao, Zhihong

doi:10.1016/j.physa.2023.128452

Cited by 38 publications

(7 citation statements)

References 55 publications

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“…As per the literature, there is no definite value for the TTC threshold to enable discrimination between safe and unsafe car-following situations [21]. According to a recent study, the threshold TTC varies from 1 to 3 s [22]. Therefore, in this research, we conducted different experiments and provide the categorization of the TTC values into different ranges.…”

Section: Safetymentioning

confidence: 99%

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Should Autonomous Vehicles Collaborate in a Complex Urban Environment or Not?

Malik,

Khan,

El-Sayed

et al. 2023

Smart Cities

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A specialized version of collaborative driving is convoy driving. It is referred to as the practice of driving more than one vehicle consecutively in the same lane with a small inter-vehicle distance, maintaining the same speed. Extensive research has been conducted on convoys of heavy-duty trucks on the highway; however, limited research has studied convoy driving in an urban environment. The complex dynamics of an urban environment require short-lived collaboration with varying numbers of vehicles rather than collaborating over hours. The motivation of this research is to investigate how convoy driving can be realized to address the challenges of an urban environment and achieve the benefits of autonomous driving such as reduced fuel consumption, travel time, improved safety, and ride comfort. In this work, the best-fitted coalitional game framework is utilized to formulate the convoy driving problem as a coalition formation game in an urban environment. A hypothesis is formulated that traveling in a coalition is more beneficial for a vehicle than traveling alone. In connection with this, a coalitional game and an all-comprehensive utility function are designed, modeled, and implemented to facilitate the formation of autonomous vehicle coalitions for convoy driving. Multiple solution concepts, such as the Shapley allocation, the Nucleolus, and the Core, are implemented to solve and analyze the proposed convoy driving game. Furthermore, several coalition formation strategies such as traveling mode selection, selecting optimal coalitions, and making decisions about coalition merging are developed to analyze the behavior of the vehicles. In addition to this, extensive numerical experiments with different settings are conducted to evaluate and validate the performance of the proposed study. The experimental results proved the hypothesis that traveling in a convoy is significantly more beneficial than traveling alone. We conclude that traveling in a convoy is beneficial for coalition sizes of two to four vehicles with an inter-vehicle spacing of less than 4 m considering the limitations of an urban environment. Traveling in a coalition allows vehicles to save on fuel, minimize travel time and enhance safety and comfort. Furthermore, the findings of this research state that achieving the enormous benefits of traveling in a coalition requires finding the right balance between inter-vehicle distance and coalition size. In the future, we plan to extend this work by studying the evolving dynamics of the coalitions and the environment.

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Section: Safetymentioning

confidence: 99%

“…-Power output of the engine: The power output of the engine P C o for each vehicle V i in the coalition C is calculated. If the V i is the leading vehicle, then the power output is calculated as shown in Equation (22).…”

mentioning

confidence: 99%

Should Autonomous Vehicles Collaborate in a Complex Urban Environment or Not?

Malik,

Khan,

El-Sayed

et al. 2023

Smart Cities

View full text Add to dashboard Cite

show abstract

“…Therefore, while a traffic management policy maximizes throughput, it may cause excessive emission levels. Moreover, the importance of adopting a harmonized approach in urban management strategies, which reconciles divergent objectives through the employment of multiobjective methodologies, is underscored by recent literature works [63], [64].…”

Section: B Limitations and Challengesmentioning

confidence: 99%

Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams

Tesone,

Tettamanti,

Varga

et al. 2024

IEEE Access

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Increasing motorization represents a severe problem worldwide, also affecting the emission levels of the road network. Accordingly, congestion management has obtained growing importance because of its strong economic, social, and environmental implications. Macroscopic Fundamental Diagram (MFD) based traffic control is a popular and efficient approach in this scientific field. In our research work the urban network has been divided into homogeneous regions, each of them characterized by its own MFD, and they are regulated using a network-level control scheme. The proposed Multiobjective Model Predictive Control (M-MPC) takes into account the congestion and CO 2 emission levels of the urban network, modelled by the emerging Emission Macroscopic Fundamental Diagram (e-MFD). The applied strategy has been demonstrated in a realistic traffic scenario (Luxembourg City) using validated microscopic traffic simulation. According to the introduced multiobjective approach, the control method can better exploit the road network capacity while efficiently reducing traffic-induced emissions.

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“…Cooperative adaptive cruise control (CACC) and intelligent driver model (IDM) are two widely adopted car-following models for simulating CAVs and HDVs in the literature (Jiang et al, 2023; Evaluation of platooning configurations for connected and automated vehicles at an isolated roundabout in a mixed traffic environment Seraj et al, 2018;Talebpour and Mahmassani, 2016). This study also adopts these two models for CAVs and HDVs.…”

Section: Car-following Modelmentioning

confidence: 99%

Evaluation of Platooning Configurations for Connected and Automated Vehicles at an Isolated Roundabout in a Mixed Traffic Environment

Zhuo,

Zhu

2023

J. Int. Con. Veh.

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Platooning has emerged to be one of the most promising applications for connected and automated vehicles (CAVs). However, there is still limited research on the effect of platooning configurations. This study sets out to investigate the effect of CAV platoon configurations at a typical isolated roundabout in a mixed traffic environment. Investigated platoon configurations include maximum platoon size, platoon willingness, and platoon type. Extensive simulation experiments are carried out in simulation of urban mobility (SUMO), considering various traffic conditions, including different penetration rates, traffic flows, and turning percentages. Results show that: (1) increasing the maximum platoon size and platoon willingness generally improves the throughput increment and delay reduction; and (2) heterogeneous platoons outperform homogeneous platoons in all traffic conditions.

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Traffic safety evaluation of mixed traffic flow considering the maximum platoon size of connected automated vehicles

Cited by 38 publications

References 55 publications

Should Autonomous Vehicles Collaborate in a Complex Urban Environment or Not?

Should Autonomous Vehicles Collaborate in a Complex Urban Environment or Not?

Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams

Evaluation of Platooning Configurations for Connected and Automated Vehicles at an Isolated Roundabout in a Mixed Traffic Environment

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