2022 Volume 2022 Issue 1 Pages 99-103
There are a number of issues that will need to be addressed in order to make automated driving ubiquitous in the future. One of these is the fact that automated vehicles cannot themselves perform adequate sensing in complex environments such as intersections, forcing these vehicles to stop or slow down in front of intersections in order to safely proceed through intersections, potentially interrupting the flow of traffic. As part of research and development conducted in fiscal 2019 and fiscal 2020, preliminary research and field tests were conducted involving core technologies concerning the collection of data on objects such as vehicles and pedestrians from sensors, etc. in the vicinity of intersections, as well as data distribution control technologies for automated vehicles. In fiscal 2021, steps were taken to support a broader range of data such as emergency vehicle data and traffic signal schedule information, as well as steps to support information distribution in mid-scale network for a variety of use cases. Meanwhile, tests were run to gauge server load in mid-scale network area and data transmission efficiency, in addition to assessing the usefulness of information distribution system in mid-scale network, with the goal of practical application of these technologies. The results of this research and tests led to the creation of the Mid-Scale Network Server Implementation Guidelines for business operators considering V2N information distribution in mid-scale network.
