IoV-Based Mathematic Model for Platoon Give Way to Emergency Vehicles Promptly

Liu, Zhendong; Jia, Hongfei; Wu, Ruiyi; Tian, Jingjing; Wang, Guanfeng

doi:10.1109/tits.2022.3149519

Cited by 9 publications

(7 citation statements)

References 31 publications

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“…Liu Z et al aimed to improve the driving efficiency of EVs under high road traffic density, and an automatic yielding system was designed by utilizing vehicle to vehicle communication in IoV. This effectively improved the operating efficiency of EVs and enhanced their automatic avoidance performance while considering traffic density [15]. Cao M et al proposed an emergency IoV priority selection control method using greedy mechanism and deep rein-forcement learning to address the issue of rapid response of EVs in emergency situations.…”

Section: Related Workmentioning

confidence: 99%

Priority Selection of Road Traffic Net-Works in Emergency Situations Based on Internet of Vehicles

Wang,

Geng

2024

IEEE Access

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The current emergency vehicle priority control methods in road traffic net-works are difficult to cope with the increasing traffic demand. Therefore, a traffic control method based on multi-vehicle collaborative lane change strategy, fleet convergence and gap adjustment model is proposed and its effectiveness is verified. These experiments confirmed that the speed of vehicle Cj+1 under strategy 1 showed a positive correlation with time at 0-5s, reaching an extreme value of 16.85 m/s around 4s, and a negative correlation after 5s. Under strategy 2, its speed showed a negative correlation with time at 0-4s, and a parallel relation-ship after 4s. The multi-vehicle col-laborative lane changing strategy was validated. Except for fleet C with a density of +0.0333m-1, the actual adjustment time of vehicle C1 was gradually increasing at all other densities. The maximum time for B1 adjustment was 9.358s, and the maximum time for C1 adjustment was 10.798s. The longitudinal relative dis-placement of C1 was larger than that of B1. In addition, compared with Model T, the research method increased the average vehicle speed by 12.64% under four different flow rates. Compared with Model Y, the average flow rate of the research method under the four experimental flows was 1.45%. Overall, the research method is effective and feasible in the priority selection control of road traffic net-works. It improves the operational efficiency of emergency vehicle sections and can be effectively applied in actual traffic net-works.INDEX TERMS Internet of Vehicles, Emergency situations, Multi-vehicle col-laborative lane changing strategy, Gap adjustment model, Flow

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Section: Related Workmentioning

confidence: 99%

Priority Selection of Road Traffic Net-Works in Emergency Situations Based on Internet of Vehicles

Wang,

Geng

2024

IEEE Access

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“…HEVs signify a developmental shift within the vehicle industry, with various configurations already in use on the roads. With the infrastructure construction of the Internet of Vehicles (IoV) and cloud computing [2], effective co-simulation of multiple vehicles is an important way to mine the big data of the IoV [3].…”

Section: Introductionmentioning

confidence: 99%

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Qian,

Xiang,

Zeng

et al. 2024

WEVJ

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With the electrification and connectivity of vehicles in transportation, traditional vehicles with single drivetrains are being replaced by pure electric or hybrid electric vehicles (HEVs). This evolution has given rise to diverse electromechanical coupling drivetrains. There is a pressing need to update simulation software to assess the economic performance of vehicles in various environments, and promote sustainable development and energy conservation. This paper presents a unified framework for the construction and automated operation of large-scale automated vehicle simulations with multiple drivetrain types, facilitating synchronous information exchange among vehicles. Central to the framework is the development of a plug-and-play vehicle model based on a modular component design, facilitating the rapid assembly of vehicles with varied drivetrain configurations and standardizing simulation file management. Additionally, a standardized simulation process construction is established to accommodate the automated operation of simulations. Furthermore, a data scheduling method among vehicles is introduced to achieve multi-vehicle interconnection simulation. Finally, the effectiveness of the framework is demonstrated through a case study involving queue-following control for HEVs. This framework aims to provide a comprehensive solution for quickly establishing automated simulation environments for multi-vehicle interaction, enhancing model reusability and scalability.

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“…In the CAV environment, the new method involves controlling the trajectory of OVs to yield the right of way to EV, thereby reducing hindrances they encounter from OVs. Te second category involves optimizing vehicle trajectories ahead of EV or forming platoons to facilitate collaborative lane-changing, thereby avoiding hindrance caused by OVs in road segments [20]. For instance, Wu et al [21] introduced an emergency lane preclearance algorithm that coordinates the control of EV and OVs.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Wu et al [21] introduced an emergency lane preclearance algorithm that coordinates the control of EV and OVs. Liu et al [20] proposed a method of control for the platoon to give way to the EV, taking into account trafc congestion, number of vehicles, initial state, and speed limit. However, the formation of vehicle platoons typically necessitates considerable distances and time, rendering it less practical for the relatively short distances between intersections in urban areas and more suitable for application on highways and expressways [21,22].…”

Section: Introductionmentioning

confidence: 99%

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A Collaborative Control Framework: Achieving Emergency Vehicle Priority While Minimizing Negative Impact on Ordinary Vehicles at Signalized Intersection

Long,

Zhang,

Gao

et al. 2024

Journal of Advanced Transportation

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When an emergency vehicle (EV) passes through an isolated signal intersection, it is crucial to ensure the efficient passage of the EV while minimizing the negative impact on ordinary vehicles (OVs), particularly in high-traffic flow scenarios. Given the constraints on temporal and spatial resources within intersection areas, OVs ahead of EV often face challenges in finding safe gaps for giving way, resulting in significant obstructions to OVs. This research introduces a novel collaborative control framework to jointly optimize dynamic emergency lane settings and signal schemes, considering EV priority and OVs benefits for a single signalized intersection. Firstly, we propose a dynamic emergency lane control algorithm to help obstructed EV in roadway segments by extending and reallocating temporal and spatial resources for vehicles. Then, we establish a collaborative control model considering EV priority and OVs benefits. Assigning the highest priority to the emergency priority phase, this model optimizes signal schemes to prevent interphase conflict, taking into account OVs benefits. Finally, our collaborative control framework also employs an Eco-Driving algorithm for the optimization of OV speed to reduce fuel consumption. The case study results reveal that in comparison to other baseline methods, our proposed model significantly reduces EV travel time, simultaneously lowering the travel time and fuel consumption of OVs. Sensitivity analysis of varying traffic flow scenarios reveals that, as vehicle volumes increase, our proposed method demonstrates more pronounced reductions in both EV and OV travel time. In addition, there is a progressive increase in the proportion of dynamic emergency lane utilization, with activation occurring at earlier locations.

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IoV-Based Mathematic Model for Platoon Give Way to Emergency Vehicles Promptly

Cited by 9 publications

References 31 publications

Priority Selection of Road Traffic Net-Works in Emergency Situations Based on Internet of Vehicles

Priority Selection of Road Traffic Net-Works in Emergency Situations Based on Internet of Vehicles

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

A Collaborative Control Framework: Achieving Emergency Vehicle Priority While Minimizing Negative Impact on Ordinary Vehicles at Signalized Intersection

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