Abstract

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.

Highlights

  • With a view to making road traffic in Japan the safest in the world, the Japanese government aims to introduce conditional self-driving, in which cars are driven automatically except where continuous self-driving is difficult, by 2020 and vehicles with advanced self-driving capability, which can appropriately handle driving even where continuous self-driving is difficult, by 2025 [1]

  • We implemented the proposed protocol in Raspberry Pi computers, which were mounted on radio control cars and conducted experiments to evaluate the effectiveness of the protocol

  • To verify the effectiveness of the proposed protocol in a realistic environment, we have developed an experimental system that consists of radio control cars with a Raspberry Pi computer mounted on each of them

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Summary

Introduction

With a view to making road traffic in Japan the safest in the world, the Japanese government aims to introduce conditional self-driving, in which cars are driven automatically except where continuous self-driving is difficult, by 2020 and vehicles with advanced self-driving capability, which can appropriately handle driving even where continuous self-driving is difficult, by 2025 [1]. 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]. It is difficult for vehicles to recognize other vehicles and exchange information with them autonomously. The most common method of recognizing surrounding cars at an intersection is to use a roadside unit. It is difficult to install roadside units at all intersections, including those that have no traffic lights

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