Personal Mobility

Presentation

Goal: Provide Pre-Trip Traffic Information for Arterials

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Federal Highway Administration

Presented at the ITS America Annual Conference and Exposition, April 29 –May 2, 2002 Long Beach, California

This paper describes the application of systems engineering (SE) to a major innovative
transportation project in the San Francisco Bay Area, the Interstate 80 (I-80) Integrated
Corridor Mobility (ICM) Project. In addition to being one of the first applications of Active
Traffic Management (ATM) to a freeway corridor in the U.S.A., it is also one of the first
detailed applications of formal SE processes to a major highway traffic management project
in the U.S.A.

DKS Associates

Presented at the ITS America Annual Conference and Exposition, May 3-5, 2010, Houston, Texas

Travel time information effects drivers’ route choice behavior, and is regarded as one of the
effective measures to ease traffic congestion. A questionnaire survey on travel time
information was conducted at Service Areas (SA) and Parking Areas (PA) on the expressways
in Japan. The questionnaire mainly consisted of questions on the consciousness and needs for
travel time information and their route choice behavior with/without the information. It
reveals that approximately 80% of drivers accept ±10 minutes error of travel times. When an
increase or a decrease arrow was added to travel time information under the questionnaire, it
had a considerable influence on their route choice behavior. As a result, it was clarified that
the display of the arrow on travel time information had possibility to relieve traffic congestion
effectively.

Meijo University

Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York

The number of injuries in traffic accidents in Japan has exceeded one million for nine
consecutive years in 2007, and reducing the number of traffic accidents remains an important
issue. We believe that reducing situation which may lead to traffic accidents, is an effective
means of helping to reduce the number of traffic accidents. This study utilized a questionnaire
investigation to collect examples of traffic incidents which occur during ordinary driving, and
analyzed the driver behavior and driver’s mental and physical states immediately before
encountering the traffic incident. Based on this analysis, we clarified the driver characteristics
which tended to make traffic incidents more likely.
We also conducted a comparison with the regression analysis results from previous research
concerning subjective daytime sleepiness which is thought to be one of factors that is likely to
lead to serious accidents. Based on these results, we propose a direction for further research
concerning next generation driving support systems that detect information on driver’s
physiological signals in order to help prevent traffic accidents.

TOYOTA INFOTECHNOLOGY CENTER Co., LTD.

TOYOTA MOTOR CORPORATION

Aichi Prefectural University

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

Nowadays there’s an increasing need to guarantee people’s mobility at acceptable cost and in
safe conditions, and to provide mobility related services according to the user’s profile. Safety
and comfort, co-operation between vehicle and infrastructure or service centre, configurable
human machine interfaces according to user’s profile, are key concepts which will
characterise the future vehicles. In this context, special care has to be dedicated to elderly
people’s needs as road users. OASIS Integrated Project comes to fill this by proposing an
elderly friendly transportation information system and route guidance, as well as technologies
for promoting personal mobility. In this paper emphasis is given to the personal mobility
promotion, by developing elderly drivers’ real time stress and discomfort assessment
algorithms and automatic seat and key vehicle configuration elements.

Centre for Research & Technology Hellas/Hellenic Institute of Transport

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York