Personal Mobility

Over recent years there has been a growing demand for the provision of journey time
information... This paper will consider some of the reasons for this and discusses the relative
merits and value to a central government organisation in developing a system for providing
this information. The paper will also discuss the processes being developed to enhance
journey time data derived from diverse sources with a view to using it as a reliable source of
event monitoring for otherwise unmonitored roads.

Victoria Quay

Presented at the 12th World Congress on Intelligent Transport Systems, November 6-10, 2005, San Francisco, California

This paper introduces a probe car system developed and tested for Beijing City in China,
which is based on GPS data of buses running on roads and provides the traffic information to
users. In the traffic information center, the system matches the bus location data on the map of
Beijing, calculates the average running speed and travel time on road links, and distributes the
traffic information to the public via Internet. Based on it, users can search suitable routes for
traveling in the city.

Hitachi (China) Research & Development Corporation, P.R.China

Presented at the 12th World Congress on Intelligent Transport Systems, November 6-10, 2005, San Francisco, California

As the desire for travel becomes even greater, both for business and leisure, so the demands on
the infrastructure will also increase. In many developed countries the transport infrastructure is
already well established with little scope for new construction. Therefore many network
operators are considering how they can work their assets harder and achieve greater throughput
of traffic, whilst ensuring the safety of their customers. This need for extracting additional
capacity, coupled with relieving existing levels of congestion and maintaining a safe network, has
led to the consideration of new and innovative traffic management schemes or operational
regimes. These include dedicating certain lanes to specific types of traffic at different times of the
day to give priority and encourage car sharing (more commonly known as High Occupancy
Vehicles lanes), slow moving vehicles (to keep them in their own lanes and allow other traffic to
pass) and for use as part-time lanes. As these new and invitation schemes become part of today’s
landscape we need to identify and understand the behavioural responses to proposed signalling of part-time lanes.

Mouchel Parkman

Presented at the 12th World Congress on Intelligent Transport Systems, November 6-10, 2005, San Francisco, California

With the urgent demand for real-time traffic information in Intelligent Transportation System,
the high-density installation of detectors has been adopted, while the amount of investment
has been sharply increased. So optimum detector location density is necessary. In this paper,
the optimum method based on travel time estimation has been expounded. The major
conclusions could be summarized as follows: considering the appropriate estimation error for
travel time and reasonable investment, the space between detectors has a suitable bound and
the high-density installation of detectors is not always good for ITS system. The method for
selecting suitable bound discussed in the paper could be introduced to confirm detector
density and detector amount in practical applications, then according to this bound the
optimum detector location density can be achieved.

Tongji University

Presented at the 12th World Congress on Intelligent Transport Systems, November 6-10, 2005, San Francisco, California

Quantitative evaluation of our parking assistance system (PAS) is required by automotive industry.
Main factors for the PAS quality are accuracy, density and robustness. Main technology for the PAS is
a vision-based point-tracker. In this paper, the quantitative evaluation of the PAS is boiled down to the
evaluation of those factors on the point-tracker. It is achieved using a reference set of 3D points
acquired manually. We present first the evaluation result of the tracker; second, how to use the
evaluation for monitoring tracker improvements.

Imra Europe S.A.S.

AISIN SEIKI

Presented at the 12th World Congress on Intelligent Transport Systems, November 6-10, 2005, San Francisco, California