Vehicle approaching model for T-junction during transition to autonomous vehicles

Hara, Tatsuro; Kiyohara, Ryozo

doi:10.1109/icoin.2018.8343130

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…What is the traffic flow performance when cross collision avoidance traffic control method is applied? e different mechanisms adopted on this were treated by [4,7,8], which described these as complex, heterogeneous backgrounds.…”

Section: Classification Of Traffic Control Meansmentioning

confidence: 99%

“…Most research studies conducted for mixed traffic systems [35] assume an environment of different vehicles size and a mix of vehicles and human beings, while very few researchers have investigated a combination of automatically and manually operated vehicles. Contribution from [7] whose work concentrated on fully mixed environments of human and autonomous vehicles (but the focus was on straight roads) investigated and quantified driver behaviour changes due to the spread of autonomous vehicles. is review paper focuses on a hybrid intersection that combines different traffic control strategies and clarifies how to cope with safety and efficient traffic flow in a mixed environment.…”

Section: Human-driven Vehicle (Hv)mentioning

confidence: 99%

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Road Intersection Coordination Scheme for Mixed Traffic (Human-Driven and Driverless Vehicles): A Systematic Review

Ozioko

Kunkel

Stahl

2022

Journal of Advanced Transportation

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Autonomous vehicles (AVs) are emerging with enormous potentials to solve many challenging road traffic problems. The AV emergence leads to a paradigm shift in the road traffic system, making the penetration of autonomous vehicles fast and its coexistence with human-driven cars inevitable. The migration from the traditional driving to the intelligent driving system with AV’s gradual deployment needs supporting technology to address mixed traffic systems problems, mixed driving behaviour in a car-following model, variation in-vehicle type control means, the impact of a proportion of AV in traffic mixed traffic, and many more. The migration to fully AV will solve many traffic problems: desire to reclaim travel and commuting time, driving comfort, and accident reduction. Motivated by the above facts, this paper presents an extensive review of road intersection mixed traffic management techniques with a classification matrix of different traffic management strategies and technologies that could effectively describe a mix of human and autonomous vehicles. It explores the existing traffic control strategies and analyses their compatibility in a mixed traffic environment. Then review their drawback and build on it for the proposed robust mix of traffic management schemes. Though many traffic control strategies have been in existence, the analysis presented in this paper gives new insights to the readers on the applications of the cell reservation strategy in a mixed traffic environment. Though many traffic control strategies have been in existence, the Gipp’s car-following model has shown to be very effective for optimal traffic flow performance.

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Section: Classification Of Traffic Control Meansmentioning

confidence: 99%

Section: Human-driven Vehicle (Hv)mentioning

confidence: 99%