2020年10月18〜22日 開催の国際学会 VEHICULAR 2020で，東山 絋樹（M1）・細野 航平（M1）が発表を行いました．
国際学会 The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications VEHICULAR 2020 が今年度はポルトガルで開催され，佐藤研究室から修士の学生2名の論文が採択され，発表を行いました．論文はオープンアクセスとなっています．
Simulation Evaluation of Cooperative Intersection Traversing Method for Connected Vehicles（Koki Higashiyama）
Connected vehicles can exchange information with each other by communicating via a network, enabling them to detect vehicles in their blind spots which cannot be seen by a vehicle alone, thereby contributing to traffic efficiency and safety. Since it will take time for such vehicles to become prevalent on roads, connected and non-connected vehicles will share the road in the future. We have developed a method that enables connected vehicles to share information gathered by their sensors on surrounding vehicles near an intersection. Simulation experiments were used to consider safety and evaluate changes in efficiency as the connected vehicle penetration rate increased. We found that safety can be ensured by adjusting the Time-To-Collision parameter dynamically, and that efficiency for an intersection with average traffic volume was improved compared with using conventional methods.
Implementation and Evaluation of Priority Processing by Controlling Transmission Interval Considering TrafficEnvironment in a Dynamic Map（Kohei Hosono）
Much attention has been attracted to the research of cooperative automatic driving that focuses on safety and efficiency by sharing the data obtained from sensor information of a vehicle. In addition, dynamic maps, a common information and communication platform for the integrated management of shared sensor information, are under consideration. A vehicle always sends data to a server that manages the dynamic map, and the server runs applications for driving support and control on the basis of the data, so fast information processing is required. However, congestion is a concern when data is continuously sent from vehicles to the server at high transmission intervals and when many vehicles are managed by dynamic maps on the server. In addition, the data transmission interval from the vehicle required by the road characteristics differs in actual traffic environments. Therefore, congestion can be alleviated by adjusting the transmission interval of data from the vehicle in consideration of road characteristics. In this paper, a platform for a dynamic map consisting of a server and a vehicle is constructed. We have also implemented a priority processing function that sets the priority for each section of a lane, and adjusts the transmission interval on the basis of the characteristics of the road around the vehicle.