Safety

This study attempts to develop an arterial incident detection model by applying an
Artificial Neural Network (ANN) with simulation data. A section of the US-1 corridor in Miami-
Dade County, Florida was selected as the study area and coded in the CORSIM microscopic
simulation model. Two data sets were generated via CORSIM simulation for model
development and assessment. Multiple ANN models were designed for various scenarios. The
model performances were evaluated using the selected measures of effectiveness (MOE),
including detection rate (DR) and false alarm rate (FAR). The results showed that the ANN
models in general could detect arterial incidents with a high DR of 90-95% and an acceptable
FAR of lower than 4%. The study also identified some preferred features in the design of ANN
incident detection models for this application. These include the detector configuration scheme,
the selection of model input features, and the employment of data from previous cycles.

DMJM Harris

Florida International University

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

Traditional ways of directly measuring visual demand while driving (i.e., extracting eye glance data by manual video tape reduction) are tedious and cumbersome. This paper is a summary of the results on visual demand associated with various telematic tasks. The results are based on the data collected from an empirical study. More specifically, traditional eye glance measures such as Mean Single Glance Time, Number of Glances, Total Glance Time, and Longest Single Eye Glance are compared to other dependent measures such as Static/Dynamic Task Completion Times and the Number of Excursions committed while completing the task. Previous findings indicated that static task completion time is a viable surrogate of dynamic task completion times. Results presented herein provide supportive evidence of previous findings, in addition to the Total Glance Time being a good predictor of other surrogate measures such as lanekeeping performance and task completion times.

Ford Research Laboratory

Virginia Tech Transportation Institute

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

The damages and social costs from the slipping accidents of pedestrians and cyclists are
significant. There are about 50,000 such accidents in Finland annually. In the future, the
number of slipping accidents requiring medical attention will probably increase due to the
aging of the population and the increase in bicycle and pedestrian traffic caused by
congestion and the climate change prevention. The current weather services can prevent
3,500–4,000 slipping accidents annually in Finland but the effect could be doubled or
tripled by developing more efficient and intelligent information services. The potential
socio-economic benefits of the services would thus be at least 370 M€/a. This, combined
with increased road traffic congestion and the challenges posed by health care, air quality
problems and climate change, offers a potential growth market for ITS services for
pedestrians and cyclists that suit the needs of different user groups.

VTT Technical Research Centre of Finland

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

The long tunnel along an urban expressway in central Tokyo (hereafter, referred to as
Yamate Tunnel) receives the world’s heaviest traffic. In order to ensure safe driving through
this tunnel, a wide variety of disaster prevention and traffic control facilities are installed.
For stable operation of these facilities we constructed latest telecommunication systems
using IT (Information technology) and power management systems. These systems are
described as follows.

Metropolitan Expressway Company Limited

CTI Engineering Company Limited

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

The mission of a Department of Transportation is to provide its customers reliable transportation facilities that perform to their level of service expectations and to accomplish this in the most efficient and effective manner possible. This mission is particularly challenging to Snow Belt states during the perils of a winter season. For example, just-in-time goods deliveries, a key ingredient in any state’s economic vitality, places an ever-increasing importance on reliable year-round transportation. This paper presents a brief background and status of the tests being conducted on the concept vehicle. The two emerging technologies currently being tested on the concept vehicle are winter pavement surface friction measurement and pavement surface freezing point.

Center for Transportation Research and Education

Iowa Department of Transportation

Presented at the 11th ITS America Annual Conference and Exposition, June 4-7, 2001 Miami Beach, Florida