Demonstration
Experiment

CASE STUDY

Proof-of-concept for autonomous driving in the vicinity of Izukyu Shimoda Station and depopulated areas along the coast of Nishi-Izu, Shizuoka Prefecture

Implementation period2019
CustomersUrban Planning Bureau, Transportation Infrastructure Department of Shizuoka Prefecture, Shimoda City, Matsuzaki Town, Numazu City
HOME>CASE STUDY>Urban Planning Bureau, Transportation Infrastructure Department of Shizuoka Prefecture, Shimoda City, Matsuzaki Town, Numazu City

Outline

The Shizuoka Autonomous Driving ShowCASE Project, launched by Shizuoka Prefecture, Dynamic Map Platform Co., Ltd., and other members, aims to resolve regional transportation issues by introducing autonomous driving services.
For fiscal year 2019, a proof-of-concept was conducted at the public roads in following three areas.

Shimoda City

By conducting a proof-of-concept for last mile transportation by AI demand mobilities, "Izu Tourism MaaS" project aims to improve transportation environment for both tourists and local residents in the area around Izu Kyuko Shimoda Station in Shimoda City, which is the hub of the Izu Peninsula.

Matsuzaki Town

To improve the living environment in depopulated areas along the coast of Nishi-Izu without railroads, where the transportation infrastructure is limited to buses and private cars. Also to verify the possibility of new lifestyle realizing a safe transportation service using autonomous driving.

Numazu City

Proof-of-concept aiming to verify the possibility to introduce an "urban transportation system using new vehicles," a service which allows people to enjoy traveling in an environment where daily life and sightseeing coexist. In addition, proof-of-concept controlling priority of traffic lights for autonomous driving bus was implemented using GPS location data.

Introduced Services

Creation of High-Precision 3D Map data(HD Map)

The road section for which HD map was created

  • Shimoda City Public Road (Shimoda Medical Center - Shimoda Station - Roadside Station)
  • Prefectural Road 121 (Iwashina School - village)
  • Prefectural Road 159 (Numazu Station - Numazu Port)

The road features created

  • Physical features: Carriageway markings, shoulder edges, stop lines, traffic lights
  • Virtual features: Lane node linkages

Shimoda City (pathway for the proof-of-concept)

Matsuzaki Town (pathway for the proof-of-concept)

Numazu City (pathway for the proof-of-concept)

Introduction Result

By using our High-Precision 3D Map data(HD Map) based on the point cloud data of more than 1,000 km owned by Shizuoka Prefecture, it was confirmed that autonomous driving is possible even in mountainous areas without relying on GNSS*. Anticipating road information even on narrow roads with poor visibility was also confirmed and that the HD map can supplement faded stop lines due to poor infrastructure maintenance. Another major achievement through the proof-of-concept was that our High-Precision 3D Map data(HD Map) enabled us to simulate the driving functions and to solve issues which without it, required adjustment on site, leading to a reduction in the operational load. Although there are still various issues to be solved to realize autonomous driving, this proof-of-concept has raised our expectations for securing daily transportation for residents in mountainous regions, realizing safe transportation services for a super-aged society and creating a transportation system that realizes new lifestyles.

We will continue to promote the practical application of autonomous driving as a means to solve regional issues such as transportation for events and tourists, easing traffic congestion, measures for shopping refugees, and the problem of crew shortage in public transportation projects.

  • *GNSS (Global Navigation Satellite System) is a generic term for satellite positioning systems such as GPS in the U.S., QZSS (Quasi-Zenith Satellite System) in Japan, GLONASS in Russia, and Galileo in the European Union.

Shizuoka Autonomous Driving ShowCASE Project

Shizuoka Autonomous Driving ShowCASE Project FY2049 Demonstration Experiment Plan

Results of the FY2019 Autonomous Driving Demonstration Experiment