Personal Mobility

One contribution of the USDOT Integrated Corridor Management (ICM) Program has been the definition of a set of key national corridor performance measures consistently applied across multiple ICM sites. These measures represent both the bottom-line for ICM strategy cost-benefit evaluation and have been instrumental in supporting a discussion of how ICM impacts can be best characterized among key corridor stakeholders. Initially, the discussion on performance-driven corridor management among the participating ICM Pioneer Sites has been focused on measures derived from observed data. In the Analysis, Modeling and Simulation (AMS) phase of the effort (2009-10), however, attention turned to producing comparable measures derived from the outputs of different traffic simulation tools. This paper documents the algorithmic process developed in the ICM program and used to calculate key national measures of corridor performance.

Fellow, Transportation Analysis, Noblis

Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida

Tehran- the capital of Iran- is the largest city of the country with more than 8 million people residents, 600 square kilometers wide, it serves more than 4 million vehicles and 4 million motorcycles as well, over a large scattered road network consisting of 4 active metro ways and 5 active bus rapid transit lanes. Nevertheless, deficiency of transportation systems in Tehran has been led to achieve the first place in the world in air and noise pollution. At 1980, Tehran municipality lined a border around the city center, and defined a traffic congested area through which any entry for the vehicles since then needs permission. Although such permission is only granted to a very small group of people like physicians, there was still a great trespassing rate due to the insufficient capability of control. Till the past year, all the entry roads to the restricted zone were controlled by police officers. There are as much as 5 million vehicles passing the borders monthly of which 20 percent or 1.1 million is illegal. Thus, efficient controlling is a major need, and if systemized, it can deliver vital information of traffic data. Since the past year, Tehran traffic Control Company, implemented an automated control of the borders, using 103 high res. Cameras, which contributed to detect more than 80 percent of illegal entries, and has become a very useful tool to collect traffic data for further analysis. This paper discusses this success story.

Keywords: Tehran traffic problems, congestion charging, congestion pricing

2011 World Congress, Orlando, Tehran Traffic Control Company

It is desirable that newly open roads should be updated to the digital map of the navigation
system as soon as they are opened.
In Japan, new expressways and national roads are updated to the digital map relatively
quickly, because the road administrator makes this information easily accessible to map
suppliers. On the other hand, newly opened local road information is not very accessible to
the map suppliers, thus newly opened local roads are only added to the digital map after a
survey every few years.
When new roads open, cars will drive on them. We believe we can detect a newly opened
road by analyzing probe car’s location data. This paper describes the method and algorithm
used to achieve this.

ITS R&D Department, Denso Corporation

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

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