Cooperative control strategies to stabilise the freeway mixed traffic stability and improve traffic throughput in an intelligent roadside system environment

Zheng, Yuan; Zhang, Yu; Ran, Bin; Xu, Yueru; Xu, Qing

doi:10.1049/iet-its.2019.0577

Cited by 21 publications

(8 citation statements)

References 25 publications

(41 reference statements)

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“…Data is collected at every simulation time step and aggregated to obtain the speed and density of each lane; the aggregated data is then used to determine how many vehicles would change lanes. These features and assumptions were verified in the V2I-based control of the previous studies [18,19]. In addition, a real-time Cooperative Intelligent Transport Systems service using V2I communication has been launched in Korea, so a short-cycle strategy is expected to be feasible.…”

Section: 11mentioning

confidence: 61%

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Kim

Lee

2023

IET Intelligent Trans Sys

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A merging section on a freeway is a typical bottleneck where congestion easily occurs due to interference caused by vehicles entering the mainline from the ramp. To achieve higher speeds and/or yield to merging vehicles, drivers on the mainline often change lanes while continuously examining the circumstances ahead that are within their sight. This individual lane‐changing behaviour is somewhat myopic and could cause an imbalance in lane use, resulting in earlier onset of congestion and a more severe capacity drop than with balanced lane use. This study proposes a feedback‐based lane‐changing control strategy that balances lane flow at merge bottlenecks to mitigate capacity drop under a connected vehicle environment. The proposed Proportional‐Integral‐Derivative feedback controller examines the traffic state of the inner lanes and systematically governs the number of lane‐changing vehicles to prevent possible excessive disturbance. The proposed strategy is evaluated using microscopic simulation. For the hypothetical network, the strategy reduces the imbalance in lane flows and improves discharge flow rate as well as travel time. For the real‐world network, the strategy can also effectively relieve congestion in a possible scenario of connected automated vehicle adoption. These results indicate that the proposed strategy can improve flow efficiency for high‐volume traffic.

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Section: 11mentioning

confidence: 61%

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Kim

Lee

2023

IET Intelligent Trans Sys

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“…V2V communication can generate the network by connecting different nodes (Vehicles) using a mesh (partial or full) topology [5]. Depending upon the number of hops used for inter-vehicle communication, they are classified as single-hop (SIVC) or Multi-hop (MIVC) systems [9]. The SIVC can be used for short-range applications such as lane merging, ACC, etc., whereas MIVC can be used for long-range communication such as traffic monitoring.…”

Section: Vehicle-to-vehicle (V2v) Communicationmentioning

confidence: 99%

“…The modern cruise control system was developed in 1948 and since then self-driving cars have been gradually developing different features [7,8]. Significant developments were made in the early 2000s when the lane departure warning system (LDWS), adaptive cruise control (ACC), self-parking assistance (SPA), auto-pilot and traffic sign recognition (TSR) were developed for AVs [9][10][11]. It is planned that by 2022 we will have intelligent speed adaptation systems and by 2030 fully automated AVs will be available with no driver backup required.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges

Ahangar

Ahmed

Khan

et al. 2021

Sensors

220

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The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities in 2019. This situation stresses the need for an intelligent transport system (ITS) that improves road safety and security by avoiding human errors with the use of autonomous vehicles (AVs). Therefore, this survey discusses the current development of two main components of an ITS: (1) gathering of AVs surrounding data using sensors; and (2) enabling vehicular communication technologies. First, the paper discusses various sensors and their role in AVs. Then, various communication technologies for AVs to facilitate vehicle to everything (V2X) communication are discussed. Based on the transmission range, these technologies are grouped into three main categories: long-range, medium-range and short-range. The short-range group presents the development of Bluetooth, ZigBee and ultra-wide band communication for AVs. The medium-range examines the properties of dedicated short-range communications (DSRC). Finally, the long-range group presents the cellular-vehicle to everything (C-V2X) and 5G-new radio (5G-NR). An important characteristic which differentiates each category and its suitable application is latency. This research presents a comprehensive study of AV technologies and identifies the main advantages, disadvantages, and challenges.

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“…Traffic conditions can be alleviated by adjusting where and when the vehicles plan to travel in their routes [3]. Various traffic management systems and methods are proposed to achieve this intention, such as vehicle route guidance, traffic signal control, and other advanced traffic techniques [4].…”

Section: Introductionmentioning

confidence: 99%

Fairness concern‐based coordinated vehicle route guidance using an asymmetrical congestion game

Zhang

Khalgui

et al. 2022

IET Intelligent Trans Sys

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In this paper, an asymmetrical congestion game is used to build a fairness concern‐based coordinated route guidance model for alleviating traffic congestion. Coordinated vehicle route guidance is commonly recognized as an effective way to alleviate the “route flapping” phenomenon, where a new congestion appears since numerous vehicles obey the same guidance in selfish route diversion. The existing studies mainly use the classic (symmetrical) congestion games, whose payoff depends only on the number of chosen players, to calculate the flow proportion for the alternative roads. This mechanism may make some front vehicles receive the worse payoffs than the rear ones, which further results in the front vehicles being unwilling to execute the recommended paths due to their unfair psychology. Players' fairness concern in game theory has been noted in some fields (such as supply chain) but not traffic route guidance. In this work, to fill the above gap, the concept of vehicular fairness concern is introduced and the corresponding mathematical expression is formulated. An asymmetrical congestion game‐based coordination route model is built, which can improve the fairness coefficient of vehicles. Moreover, a reinforcement learning‐based approximated solving algorithm is designed since the existing solving theorems are not necessarily valid for the asymmetrical congestion game. An experimental study shows that (1) the Nash equilibrium coefficients generated by the approximated solving algorithm all converge to 1.00, and (2) the averaged fairness coefficient is increased from 0.92 to 0.96 on the basis of equal travel time due to the improved payoff functions.

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Cooperative control strategies to stabilise the freeway mixed traffic stability and improve traffic throughput in an intelligent roadside system environment

Cited by 21 publications

References 25 publications

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges

Fairness concern‐based coordinated vehicle route guidance using an asymmetrical congestion game

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