Traffic Surveillance System Using Heterogenous Sensor Technologies for National Park Service
Started: September, 2014 Ended: August, 2015 Project ID #4W5236 Status: Completed
Results & Findings
The final report developed by WTI focused on system recommendations, including the following: The system should be designed with a minimal visual and physical footprint in order to have a minimal impact on the natural aesthetics. It should be designed with flexibility for power options so that when power is not available the following can be balanced for the best option for an individual park unit: • minimize staff labor needs (e.g. replacing batteries), • minimize aforementioned aesthetic impact, • minimize cost, and • minimize system down time. The primary need this system can supply is real-time travel speeds. Data should be accessible for use by a wide variety of traveler information systems. The system should have as an option, updates to park staff for incident detection when real-time travel speeds fall below certain thresholds. A consideration for expanding system capabilities is to estimate destination parking demand, or segments of the park where more vehicles may be stopped at destinations. The system should also supplement historic traffic data with hourly vehicle counts. Vehicle classification is not a priority but it will be good to distinguish between passenger cars, busses and RVs. If vehicle re-identification can be expanded beyond an individual segment, historic travel pattern data would be useful. Travel patterns tracked would include where the vehicle entered the park, which locations they visited (and for how long), and where the vehicle exited the park.
The objective of this project is to develop and test a prototype traffic data collection device in a National Park setting.
CLR Analytics was awarded a project titled "Visually Unobtrusive Traffic Monitoring for National Park Service" by the USDOT SBIR Program. The Western Transportation Institute was included a part of the team for that proposal. The project intends to develop and test a prototype traffic data collection device. CLR Analytics will lead the development of the device. WTI will assist with the evaluation of the prototype. WTI's main role will be to use its knowledge of transportation issues in national parks and other federal lands in order to make recommendations on the applicability and implementation of such devices based on a park's needs and resources.
Pat McGowen - PI
Lianyu Chu - Main External Contact
Files & Documents
Sponsors & Partners
- CLR Analytics Sponsor
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