Cross-cutting Issues

This technical paper discusses the application of a new ITS tool for air quality and congestion
management. This tool called TRACE (TRansportation Air quality & Congestion Evaluation)
will provide roadside air quality and congestion measurement and reporting capability. It also
will be used to improve transportation management decisions in support of improving air quality
through efficient traffic management and control of the traffic signals and other ITS devices.
Additionally, TRACE will provide a forecasting model for planning purposes and an expert
system to select appropriate strategies to respond to scenarios representing various combinations
of network congestion and air quality condition. The inputs to the forecasting model are traffic
data from existing vehicular detectors and weather data for the subject network. The first
prototype will be field tested at an existing site, where a traffic management platform with
adaptive traffic signal control system is managing the arterial traffic.

Telvent

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

Accurate real-time positioning, i.e. at the lane level, is a big challenge for a lot of advanced
driver assistance systems (ADAS) under study or development. To reach the sub-meter
accuracy necessary for the lane discrimination, the best from the existing technologies and
state-of-the-art data fusion algorithms must be used, keeping in mind that the final
commercial solution will have to be available at an acceptable price for the customer. In the
frame of the European project CVIS, the LCPC is addressing this issue and this paper presents
the choices that have been made: EGNOS (the European WAAS) for the main positioning
technology, a new model of enhanced digital maps compliant with the lane-level objective
and an innovative particle filter proposed by the LCPC team to merge sensor and map data
into a unique positioning and map-matching process.

Laboratoire Central des Ponts et Chaussées

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

Effective corridor management during non-recurring conditions requires a combination of traffic
diversion to parallel routes, signal timing changes, adjustment of ramp metering rates (when
ramp metering is available) and comprehensive motorist information; actions for which
simulation studies have demonstrated significant benefits. Operations personnel may be
reluctant to use these techniques due to the absence of the comprehensive information needed to assess traffic conditions on potential diversion routes. A new traffic monitoring technology has
been developed that provides accurate measurement of travel times for both freeways and arterial roadways. This technology, which receives signals from Bluetooth equipped devices (cell
phones, PDAs, car radios, etc.) located in passing vehicles, provides the reliable traffic
information needed for effective corridor management.

Center for Advanced Transportation Technology

Traffax Inc

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

Current methods for building dynamic message signs (DMS) include walk-in housing
with ventilation equipment. A new proposed DMS design would move the heatgenerating
power supply and controller to the DMS cabinet at grade. This alternate
method would require a lesser mechanical ventilation system and could be furnished and
installed in a more efficient manner due to the DMS’s lighter weight. In addition to a cost
reduction in the DMS itself, a significant savings would be realized in maintenance due
to the grade-level accessibility of those items that historically require ongoing
maintenance.

Michigan DOT & HNTB Corporation

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

In this paper, a neural network technique for automatic steering control of a highway rotary
snow blower vehicle is presented. The technique is introduced to improve the performance of
the lateral position tracking control of the vehicle. First, Proportional-Derivative (PD)
controllers (one for position, one for heading angle) are developed from the bicycle model of
the vehicle to control the steering angle to follow the desired trajectory. Then a neural
network controller is added to compensate for uncertainties in vehicle dynamics. Simulation
studies of the neural control technique are conducted for the rotary snow blower vehicle
model under virtual snow blowing conditions.

Chungnam National University

University of California–Davis

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