Studies on Smart Mobility Relevant to Words of “Cyber-Physical” and “Co-Evolutional”

Manabu OMAE

Graduate School of Media and Governance, Keio University

TGU Symposium on Smart Connected Cities25th, July, 2016

Our studies on smart mobility

Automated driving On-demand automated driving Digital-map-based automated driving

Platooning Platoonig of small electric vehicles Platoonig and Cooperative ACC of trucks

Remote Control Human-operated remote control of vehicles Automated vehicle guidance by sensors and controllers

on infrastructure

Our studies on smart mobility Recent studies Vehicle control in the project of creation of co-evolutional

cyber-physical spaces Cooperative automated driving via a spatial information

server Advanced driver-assistance system that enables co-

evolution of a driver and vehicle Low-speed fully automated driving system for elderly

people Lane-keep assist control on an ordinary street Cooperative adaptive cruise control using visual

information High-capacity parking using automated guidance Collaboration studies with companies

Cooperative automated driving via a spatial information server

Objective

Information given by onboard sensors

Should I decelerate or keep a speed？

？

？ ？

？

Cooperative automated driving via a spatial information server

Vehicle’s statusFuture pathand positions

Shared spatial information

Vehicle can pass through intersection without stopping, if it can see other vehiclesintentions in advance

Realizing smooth traffic of automated vehicles by using simple and long-period (1s) communication. Sharing information of future positions of vehicles

Objective (Cyber space)

Co-operative automated driving via a spatial information server

System overviewID:12Time=t+1.5

ID:12Time=t+1

ID:12Time=t+2

Vehicle width t : current time

Future positions (X,Y)

Grid map

Writing vehicle occupancy on the grid map representing real space

Server

Vehicle 1 (ID:12)

Writing of vehicle occupancy

Grid map contains current and future positions of multipole vehicles

Co-operative automated driving via a spatial information server

Searching vehicle occupancy on the grid map according to request from a vehicle.

Requested area by vehicle 1

ServerSystem overviewReading of vehicle occupancy and cooperative control

Conducting cooperative control using information from the server

Co-operative automated driving via a spatial information server

Evaluation No-Cooperative control:Vehicle waits for the vehicle on outer circuit that is entering intersection in less than 5 sec

Cooperative control:Vehicle goes into intersection if non-interference of future positions are confirmed

Experimental course

Experimental vehicle

priority road (outer circuit)

priority road (outer circuit)

Co-operative automated driving via a spatial information server

Cooperative control Non-Cooperative controlSimulation results of 10 vehicles

Average: 546.6s/ 2kmAverage:513.8s/ 2km

Evaluation

Co-operative automated driving via a spatial information server

Cooperative control Non-Cooperative controlExperimental results of 5 vehicles

Average: 283.4s/ 600mAverage:270.9s/ 600m

Evaluation

Co-operative automated driving via a spatial information server

Co-operative automated driving via a spatial information server

Co-operative automated driving via a spatial information server

Co-operative automated driving via a spatial information server

Advanced driver-assistance system that enables coevolution of a driver and vehicle

Good presentation of risk detection and control process

Override operation

Personal adaptation of driving control

Raise of safety awareness of driving

Co-evolution of driver and vehicle Co-evolution of driver and vehicle

Application of driver model with feeling risk in forward view

Enhancement of risk-detection performance

Advanced driver-assistance system that enables coevolution of a driver and vehicle

Conclusions Two of our studies that are related to the words of “Creation

of co-evolutional Cyber-Physical Spaces” are introduced.

The project of “Creation of co-evolutional Cyber-Physical Spaces” is very interesting and exciting for researchers on smart mobility.

Transport system in the co-evolutional cyber-physical spaces will be an advanced cooperation system among vehicles, drivers, mobile robots, pedestrians and infrastructures through the cyber space.

We must consider how to evolve the system through the cooperation.

Thank you for your kind attention.