Abstract
A heterogeneous traffic flow consists of regular vehicles, and intelligent connected vehicles having interactive functions is updating the composition of the current urban-road network traffic flow. It has been a growing trend and will continue to be so. Because of the urgent demand, the research focused on three main parts of cooperative control methods under intelligent connected vehicles environment, typical traffic control application scenarios and experimental validation in intelligent connected vehicles conditions, and intersection-oriented hybrid traffic control mechanism for urban road. For heterogeneous interrupted traffic flow of intelligent connected vehicles, to analyze the characteristics and information extraction method of heterogeneous traffic flow of intelligent connected vehicles under different conditions, the research examined driving modes of regular vehicles and intelligent connected vehicles, including car following and lane changing. This study summarized control modes of traffic-signal control, active control of intelligent connected vehicles, and indirect control of regular vehicles through intelligent vehicles to study the active control mechanism and multi-intersection coordinated control strategy for intelligent connected vehicle heterogeneous traffic flow. With the combination of coordinated control theory, this work overviewed integrated experiment of information interaction and coordinated control under intelligent-connected-vehicle heterogeneous traffic-flow environments.
Highlights
Publisher’s Note: MDPI stays neutralWith the further development and promoting application of intelligent-connected vehicles and cooperative vehicle infrastructure technologies, an integrated human–vehicle–infrastructure transportation system will come true
The research on active traffic control based on vehicle–road cooperation and intelligent connected vehicle technology must focus on the following questions: What changes does the incorporation of intelligent connected vehicles have on traditional traffic flow? How do we accurately extract the information needed by the traffic control system in the environment of intelligent connected vehicles? How do we create a cooperative control mechanism for multiple intersections in the environment of connected vehicles without interaction with the traffic control system? How doe we build intersection active control mechanism in the environment of intelligent connected vehicles with interaction function with traffic control system? How do we verify the cooperative control mechanism of multiple intersections in the environment of intelligent connected vehicles?
Compared with traditional traffic control methods, the traffic control mechanism in the intelligent connected vehicle environment has the following characteristics: collect travel path information in real time; intelligent connected technology automatically calibrates model parameters; active control is achieved through prompt messages, assisted driving, and other measures; the content of traffic control will become more abundant due to the introduction of the intelligent connected environment, such as dynamic path guidance, lane change control, etc
Summary
With the further development and promoting application of intelligent-connected vehicles and cooperative vehicle infrastructure technologies, an integrated human–vehicle–. Scholars in related fields have studied traffic parameter extraction methods based on intelligent connected vehicles to solve the defects of traditional datacollection methods, and some new methods continue to emerge. It mainly focused on extracting traffic parameters that cannot be directly obtained by traditional detectors, such as traffic density, average speed, and travel time, and has made major breakthroughs in timeliness and accuracy of data
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