Centralized cooperative intersection control under automated vehicle environment

Ding, Jishiyu; Xu, Huile; Hu, Jianming; Zhang, Yi

doi:10.1109/ivs.2017.7995841

Cited by 26 publications

(19 citation statements)

References 12 publications

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“…Another way for cooperative intersection control is to convert the problem into a multiobjective optimization problem. In [6], Ding et al proposed a method that aims to minimize the intersection delay, fuel consumption, and emission as well as the discomfort level. This method also contains a collision-avoidance model to ensure the safety of the vehicles.…”

Section: Autonomous Intersection Management (Aim) Uses the Reservation Protocols At The Unsignalized Intersection In Which Thementioning

confidence: 99%

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A priority tree based coordination method for intelligent and connected vehicles at unsignalized intersections

Dongxin¹,

Qiqige²,

Chu³

et al. 2021

IET Intelligent Trans Sys

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Intelligent and connected vehicles are believed to be the future solution to traffic management, especially in highly challenging areas such as intersections. In this paper, a priority tree based coordination method is proposed for intelligent and connected vehicles at unsignalized intersections. First, a dynamic scheduling method is used to generate the crossing order of the vehicles, considering the conflicting relationship, waiting time, and arrival time of the vehicles. Then a conflict resolution method is presented to handle the spatial and temporal conflicts among the vehicles inside the intersection. And the simulation results show that the method can generate collision-free traffic flows as well as improving the traffic performance.

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Section: Autonomous Intersection Management (Aim) Uses the Reservation Protocols At The Unsignalized Intersection In Which Thementioning

confidence: 99%

“…We also introduced a weighting factor for the optimal velocity in order to perform better braking performance. The weighting factor is defined in Equation (6).…”

Section: Figure 8 Conflict Zones In a Gridded Intersectionmentioning

confidence: 99%

A priority tree based coordination method for intelligent and connected vehicles at unsignalized intersections

Dongxin¹,

Qiqige²,

Chu³

et al. 2021

IET Intelligent Trans Sys

View full text Add to dashboard Cite

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“…Ding et al [124] proposed a centralized cooperative intersection control approach for unsignalized intersections, which is formulated as a nonlinear constrained programming problem. Compared to actuated intersection control, the proposed method can improve traffic flow, reduce traveling time, and improve fuel consumption by 10.49-17.61%, 88.56-95.38%, and 17.18-37.81%, respectively.…”

Section: Efficiency and Safetymentioning

confidence: 99%

“…As shown in Table B-8 in Appendix B, optimization (e.g., [124], [125], and [129]) and rule-based (e.g., [5]) methods have been developed to improve intersection efficiency and environmental impact while considering traffic safety and passenger comfort. Overall, the proposed methods outperform the base cases in terms of throughput, fuel consumption, and travel time.…”

Section: Efficiency and Safetymentioning

confidence: 99%

Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review

Namazi

2019

IEEE Access

120

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Over the past several decades, the development of technologies and the production of autonomous vehicles have enhanced the need for intelligent intersection management systems. Subsequently, growing interest in studying the traffic management of autonomous vehicles at intersections has been evident, which indicates a critical need to conduct a systematic literature review on this topic. This paper offers a systematic review of the proposed methodologies for intelligent intersection management systems and presents the remaining research gaps and possible future research approaches. We consider both pure autonomous vehicle traffic and mixed traffic at four-way signalized and unsignalized intersection(s). We searched for articles published from 2008 to 2019, and identified 105 primary studies. We applied the thematic analysis method to analyze the extracted data, which led to the identification of four main classes of methodologies, namely rule-based, optimization, hybrid, and machine learning methods. We also compared how well the methods satisfy their goals, namely efficiency, safety, ecology, and passenger comfort. This analysis allowed us to determine the primary challenges of the presented methodologies and propose new approaches in this area.INDEX TERMS Autonomous vehicle, intelligent intersection management system, mixed traffic, vehicleto-infrastructure (V2I) communication, vehicle-to-vehicle (V2V) communication.

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“…Managing AV traffic has been studied by many researchers. They used AVs to collect and share information based on vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications (e.g., [1], [2], [3], [4], [5], [6], and [7]). Despite the importance of managing AVs, changing all vehicles to autonomous versions will take time.…”

Section: Introductionmentioning

confidence: 99%

Using Vehicle-Mounted Camera to Collect Information for Managing Mixed Traffic

Namazi

Holthe-Berg

Lofsberg

et al. 2019

2019 15th International Conference on Signal-Image Technology &Amp; Internet-Based Systems (SITIS)

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With increasingly rapid advances in the field of producing modern and autonomous vehicles, the need for intelligent traffic management systems, which take advantage of the vehicle's abilities to sense and communicate, has increased. A considerable amount of literature has been published on managing traffic that includes only autonomous vehicles. However, changing all vehicles to autonomous versions is a longterm process. In the near future, traffic will be a mixture of human-driven and autonomous vehicles. To date, few studies have investigated mixed traffic in intelligent management systems. The main objective of this research is to study the possibility of using a vehicle-mounted camera to sense and collect the required traffic data of the surrounding vehicles in mixed traffic. To achieve this, a vehicle with a monocular camera is used to collect image information for detecting and counting the vehicles in different lanes and estimating their distance and speed on the defined route. The results indicate that our proposed image processing algorithms can acquire the information needed for intelligent traffic management systems.

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Centralized cooperative intersection control under automated vehicle environment

Cited by 26 publications

References 12 publications

A priority tree based coordination method for intelligent and connected vehicles at unsignalized intersections

A priority tree based coordination method for intelligent and connected vehicles at unsignalized intersections

Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review

Using Vehicle-Mounted Camera to Collect Information for Managing Mixed Traffic

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