Evaluation of the effects of in‐vehicle traffic lights on driving performances for unsignalised intersections

Yang, Bo; Zheng, Rencheng; Shimono, Keisuke; Kaizuka, Tsutomu; Nakano, Kimihiko

doi:10.1049/iet-its.2016.0084

Cited by 29 publications

(17 citation statements)

References 22 publications

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“…The method proposed in Reference [6] addresses human-driven vehicles that have inter-vehicle communication capability. When a vehicle approaches an unsignalized intersection, the system estimates the time when the vehicle arrives at the intersection from its speed and distance to the intersection and displays a virtual traffic light within the vehicle.…”

Section: Related Studiesmentioning

confidence: 99%

“…Except for the methods proposed in Reference [3,6,7], all methods use roadside units to control traffic and thus cannot be applied to all intersections. The method in Reference [3] addresses only T-shaped intersections and does not describe how vehicles recognize each other and communicate with each other.…”

Section: Related Studiesmentioning

confidence: 99%

“…While the introduction of self-driving systems is expected to reduce the number of accidents and traffic jams, it is necessary to implement new vehicle running control regulations and invest in roadside infrastructures if we are to ensure safe and efficient traffic on the road. Many researchers have proposed traffic control methods, in particular for application to accident-prone intersections [2][3][4][5][6][7]. Generally, it is difficult for vehicles to recognize other vehicles and exchange information with them autonomously.…”

Section: Introductionmentioning

confidence: 99%

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Inter-Vehicle Communication Protocol Design for a Yielding Decision at an Unsignalized Intersection and Evaluation of the Protocol Using Radio Control Cars Equipped with Raspberry Pi

Yajima

Takami

2019

Computers

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The Japanese government aims to introduce self-driven vehicles by 2020 to reduce the number of accidents and traffic jams. Various methods have been proposed for traffic control at accident-prone intersections to achieve safe and efficient self-driving. Most of them require roadside units to identify and control vehicles. However, it is difficult to install roadside units at all intersections. This paper proposes an inter-vehicle communication protocol that enables vehicles to transmit their vehicle information and moving direction information to nearby vehicles. Vehicles identify nearby vehicles using images captured by vehicle-mounted cameras. These arrangements make it possible for vehicles to exchange yielding intention at an unsignalized intersection without using a roadside unit. To evaluate the operations of the proposed protocol, we implemented the protocol in Raspberry Pi computers, which were connected to cameras and mounted on radio control cars and conducted experiments. The experiments simulated an unsignalized intersection where both self-driven and human-driven vehicles were present. The vehicle that had sent a yielding request identified the yielding vehicle by recognizing the colour of each radio control car, which was part of the vehicle information, from the image captured by its camera. We measured a series of time needed to complete the yielding sequence and evaluated the validity of yielding decisions.

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Section: Related Studiesmentioning

confidence: 99%

Section: Related Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inter-Vehicle Communication Protocol Design for a Yielding Decision at an Unsignalized Intersection and Evaluation of the Protocol Using Radio Control Cars Equipped with Raspberry Pi

Yajima

Takami

2019

Computers

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“…We previously proposed an in-vehicle traffic light based on the application of vehicular communications, displaying virtual traffic light information inside vehicles to assist drivers in safely crossing priority-controlled unsignalized intersections [2,3]. However, the practicality of the in-vehicle traffic light at prioritycontrolled unsignalized intersections will be greatly limited if the waiting time of vehicles in actual traffic conditions is not considered.…”

Section: Introductionmentioning

confidence: 99%

“…To apply the concept of the virtual traffic light at prioritycontrolled unsignalized intersections, we proposed an invehicle traffic light system in our previous driving simulator studies according to gap acceptance theory [2,3]. Gap acceptance theory was used to decide whether a major-road gap was appropriate for the entry of a minor-road vehicle [19].…”

Section: Introductionmentioning

confidence: 99%

Influences of Waiting Time on Driver Behaviors While Implementing In-Vehicle Traffic Light for Priority-Controlled Unsignalized Intersections

Yang

Zheng

Kaizuka

et al. 2017

Journal of Advanced Transportation

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In-vehicle traffic lights that assist drivers in crossing intersections are in development; however, the availability of the in-vehicle traffic light will be limited if the waiting time of a vehicle is not considered in actual traffic conditions, especially at prioritycontrolled unsignalized intersections that normally consist of one major and two minor roads. The present study therefore investigated the effects of the waiting time on driver behaviors to improve the in-vehicle traffic light for the priority-controlled unsignalized intersections. Gap acceptance theory that considers the waiting time was adopted in the implementation of the invehicle traffic light, to assist minor-road drivers in passing through the intersections by selecting appropriate major-road gaps. A driving simulator experiment involving 12 participants was performed for the minor and major roads, by applying the in-vehicle traffic light with and without the consideration of waiting time. Results demonstrate that the maximum acceleration strokes of minor-road vehicles were significantly reduced, indicating a lower possibility of aggressive driving when the in-vehicle traffic light was applied while considering the waiting time. Meanwhile, an improved steering stability was observed from the driver behaviors at the intersections, as the maximum lateral acceleration of minor-road vehicles significantly decreased when the waiting time was considered.

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Evaluations of Different Human Machine Interfaces for Presenting Right-Turn Timing at Intersections

et al. 2020

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Evaluation of the effects of in‐vehicle traffic lights on driving performances for unsignalised intersections

Cited by 29 publications

References 22 publications

Inter-Vehicle Communication Protocol Design for a Yielding Decision at an Unsignalized Intersection and Evaluation of the Protocol Using Radio Control Cars Equipped with Raspberry Pi

Inter-Vehicle Communication Protocol Design for a Yielding Decision at an Unsignalized Intersection and Evaluation of the Protocol Using Radio Control Cars Equipped with Raspberry Pi

Influences of Waiting Time on Driver Behaviors While Implementing In-Vehicle Traffic Light for Priority-Controlled Unsignalized Intersections

Evaluations of Different Human Machine Interfaces for Presenting Right-Turn Timing at Intersections

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