Safety

This project was built upon the Minnesota Statewide Commercial Vehicle Weight Compliance
Strategic Plan (2005) goal to preserve Minnesota’s infrastructure by minimizing damage from
overweight trucks. A primary focus of the project was building a Virtual Weigh Station “starter”
system at a reasonable cost and within a short time frame. This was accomplished by using
current Weigh in Motion (WIM) scales and applications for weight enforcement purposes. The
project began by documenting appropriate inspection areas for each WIM site. The scale data
was then processed in new ways to create performance measures for tracking progress and for
real time enforcement screening. Also, a variety of WIM controllers were demonstrated to find
competitive products suitable for Mn/DOT’s needs. Finally, the use of digital imaging and
dynamic feedback technologies were investigated as potential new tools.

Minnesota Department of Transportation

URS Corporation

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

This paper presents a Vision based Driver Assistance System (VDAS) for safe and efficient
driving based on computer vision and artificial intelligence technologies. The proposed
system is composed of three functions: (1) blind spot warning to assist lane change, (2) lane
departure warning to inform the driver of unintended lane departure, and (3) parking assist to
guide parking to driver by overlaying of parking guide line on A/V monitor in vehicle. To
develop the VDAS including above three applications, we used two DSP chips for image
processing, an ECU to control system, two cameras mounted to side mirrors and A/V monitor.
In this paper, we show how each function is operating and descript key algorithms of each
function. Evaluation results show that proposed system is useful to assist driver.

Hyundai & Kia Corporate Research & Development Division

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

In order to enhance driver safety and ultimately enable vehicle autonomy on existing roadways,
sensing techniques must be developed to determine the designated vehicle path from the
roadway.  This paper addresses various vision based techniques to determine drivable path on
developed roadways and lane detection algorithms to facilitate path generation.  These
techniques carry with them a range of strengths and weaknesses such that the fusion of multiple
techniques can supplement weaknesses of each other to create a more robust system.  Southwest
Research Institute (SwRI
®) has undertaken the Southwest Safe Transport Initiative (SSTI) aimed
at investigating the development and commercialization of vehicle autonomy as well as vehicle-
based telemetry systems to improve safety and facilitate traffic flow.  This paper will discuss the
results of various vision based path detection techniques used to date in the SwRI SSTI program
and their integration to provide a more robust overall path detection algorithm.

Southwest Research Institute

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

An original engineering approach towards the implementation of Vision Zero for
Children is presented in this paper. A new policy towards child safety management targets
zero child fatalities through a shift in the child-safety paradigm. The new policy points to the
required changes in the current approach towards child safety and discusses the required
changes relative to the existing child-safety paradigm. The actions advocated by this new
policy represent a first introduction of the car seat industry and motor vehicle child protection
to the ITS world. It offers a departure from the current approach which treats child protection
in a piecemeal fashion and an adoption of a holistic approach to hazard mitigation as a means
to set new standards for child safety in the 21st century.

Safe to Ride, Inc.

Paper submitted for publication and presentation at the ITS America’s 2009 Annual Meeting and Exposition

Statistics show that about forty percent of all road accidents occur at urban and rural
intersections, mainly due to misjudgement and rule violation. Collisions involving vulnerable
road users often lead to serious or even fatal injuries. The Intelligent Cooperative Intersection
Safety system (IRIS), as part of the European research project SAFESPOT, is a roadside
application that aims at decreasing the number of accidents at controlled intersections. The
application uses vehicle-to-infrastructure communication to track and analyze the movements
of individual vehicles and explicitly addresses the protection of vulnerable road users. Key
elements of IRIS are the real-time identification of dangerous situations and the application of
appropriate measures to prevent collisions. This paper analyses the safety of vulnerable road
users at controlled intersections within the context of the SAFESPOT-IRIS system.

Peek Traffic bv

Technische Universität München

MAT.Traffic

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