Documents
Advancing Community Transportation Through Coordination Using ITS - Lessons Learned from Aiken
The Mobility Services for All Americans (MSAA) initiative is a United States Department of Transportation’s (USDOT) Intelligent Transportation Systems (ITS) research initiative that aims to enhance the efficiency and quality of human service transportation utilizing ITS. Travel Management Coordination Centers (TMCC) demonstration is a major outcome of the MSAA initiative. ITS forms the basis of the TMCC system by enabling two essential functional features: 1) enhanced real-time traveler information capability, and 2) improved or enhanced operational coordination through advanced ITS fleet management tools. In 2008, the USDOT selected Aiken (South Carolina), Camden County (New Jersey), and Paducah (Kentucky) to develop and demonstrate the technological and institutional feasibility of a deployed TMCC and to assess its impacts. In 2010, Aiken and Paducah TMCCs became operational and began a new era of coordinated community transportation services. The Paducah KY TMCC received the 2010 Community Transportation System of the Year Award by the Community Transportation Association of America (CTAA). The process and approach that led to the ultimate success of these two TMCC demonstration projects suggests that while each TMCC design was significantly influenced by local unique operational needs and characteristics, certain foundational ITS capabilities, such as Computer-Aided Scheduling and Dispatching (CASD), are required by all. This paper documents real-world results from the Aiken deployment and confirms that human service transportation in general is an “under-challenged” area where ITS can make a major impact.
U.S. DOT
Noblis, Inc.
Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida
Advanced Traveler Information System In Santa Clarita, Ca
The City of Santa Clarita is situated in-between Interstate 5 and State Route 14 and is a fairly
small size City compared to the neighboring City of Los Angeles. A large percentage of traffic
in the City of Santa Clarita utilizes arterials as alternate routes to the Interstate 5 and State Route
14, given the road network configuration that has numerous parallel arterials to the freeways (1).
The City of Santa Clarita identified that the implementation of Advanced Traveler Information
System (ATIS) locally can provide the greatest value to residents and other travelers. ATIS
could also provide travelers with detailed information about traffic incidents, the weather,
construction, and special events by linking the resulting system with other ATIS in the future
through Caltrans, Los Angeles County, and other local agencies. The concept of ATIS for the
City is unique because of the scale of the system required to be implemented compared to larger
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public agencies such as City of Los Angeles and County of Los Angeles. The implementation of
ATIS will improve travel predictability allowing drivers to make choices and reducing
congestion. The City of Santa Clarita received funding for an Intelligent Transportation Systems
(ITS) Phase 2 project as part of the Metropolitan Transportation Authority (MTA) call for
projects. This project calls for the installation of traveler information data collection, integration
and dissemination systems in the City. The project will install system detection at 16 locations,
Closed Circuit Television (CCTV) at 10 locations, 3 portable Changeable Message Signs
(PCMS), Fiber Optic Interconnect Gap Closure and a Traveler Information Web site to
disseminate information on the city streets and the adjacent freeways to the travelers in the city.
Kimley-Horn and Associates
City of Santa Clarita
TranSmart Technologies/ TrafficCast International
Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York
Advanced Travel Information: Making Travel Faster, More Efficient, More Cost-Effective, and Safer
Comprehensive travel information is a critical factor in tackling traffic congestion in
the U.S. and other countries, where bottlenecked roads and extraordinary delays often
approach crisis conditions. The goal of this paper is to illustrate how a consortium
approach to the collection and processing of traffic impact data, which integrates and
coordinates existing, independent data systems and delivery platforms, can improve
both information and communications to private and commercial drivers as well as
public agencies and yield a range of benefits, including more efficient travel,
enhanced road safety, lower pollution and fuel conservation.
TrafficCast International, Inc.
Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York
Accuracy Of A Floating Car Traffic Information System
This paper examines the accuracy of traffic information generated by a commercial traffic
monitoring system using anonymous tracking of cellular phones to generate roadway speed
information. The calculated speeds from the cell phone floating car probe system were
compared to two alternate sources of speed measurements; inductive loops for speeds on
freeways, and GPS equipped test vehicles for speeds on surface streets. The Traffic
Measurement System (TMS) was tested in Toronto and generated speed data which was
closely correlated with speeds measured by inductive loop detectors and with speeds
calculated from travel times of GPS equipped test vehicles. For both freeways and surface
streets under congested and uncongested conditions, the system produce speeds with better
than 85% average absolute accuracy and better then 95% average accuracy in all categories.
Intellione Technologies
Paper submitted for publication and presentation at the ITS America’s 2009 Annual Meeting and Exposition
Accuracy In Real-Time Estimation Of Travel Times
Travel time estimates are a valuable component of Advanced Traveler Information Systems
and have been shown to be of great use to the traveling public. However, such estimates must
be accurate to be useful. In addition, travel time estimates should not be provided when one
can reasonably infer that they are likely to be inaccurate. This paper uses a large data set,
gathered in a previous travel time validation project, to study methods for real-time
identification of inaccurate travel time estimates. In addition, the paper evaluates the effect of
influence area adjustments and the length of the input data window on travel time estimation
accuracy.
Portland State University
Oregon Department of Transportation
Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York