Probe sampling strategies for traffic monitoring systems based on wireless location technology.

Fontaine, Michael D; Yakkala, Anjani P; Smith, Brian L.,; McGhee, Catherine C; Virginia Transportation Research Council (VTRC); Virginia. Dept. of Transportation; United States. Federal Highway Administration

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Probe sampling strategies for traffic monitoring systems based on wireless location technology.

2007-01-01
By Fontaine, Michael D ; Yakkala, Anjani P ; Smith, Brian L., ; ...

[PDF-704.93 KB]

English

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Creators:

Fontaine, Michael D ; Yakkala, Anjani P ; Smith, Brian L., ; McGhee, Catherine C

Fontaine, Michael D ; Yakkala, Anjani P ; Smith, Brian L., ; McGhee, Catherine C Less -
Corporate Creators:

Virginia Transportation Research Council (VTRC) ; Virginia. Dept. of Transportation ; United States. Federal Highway Administration

Virginia Transportation Research Council (VTRC) ; Virginia. Dept. of Transportation ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Motor Vehicles--Automatic Location Systems Probe Vehicles Sampling (Statistics) Traffic Flow--Remote Sensing--Virginia Traffic Surveys--Remote Sensing--Virginia
Publication/ Report Number:

FHWA/VTRC 07-CR12
Resource Type:

Tech Report
Geographical Coverage:

Virginia
Edition:

Final report;March 2005December 2006.
Corporate Publisher:

Virginia Transportation Research Council (VTRC)
Abstract:

Transportation agencies have become very interested in traffic monitoring systems based on wireless location technology (WLT) since they offer the potential of collecting travel time data across a wide portion of the road system. Prior tests of WLT-based systems have been unsuccessful, in part because they have treated the road network as a homogeneous entity. This "area-wide" method has inherent limitations, causing congested roadways to be over sampled and uncongested and low volume roads to be under sampled. This project developed a methodology to estimate sampling parameters based on localized traffic conditions in the network, termed a "zonal approach." In zonal WLT systems, the roadway network is disaggregated into smaller areas, termed "zones," based on cellular coverage areas. In this research, two zonal sampling strategies were examined and tested using three simulated networks. When the road network is complex, the zonal priority sampling strategy was found to distribute probes throughout the network and produced a larger number of speed estimates on uncongested and low volume roads. Moreover, the zonal priority strategy improved speed estimation accuracy by 10 percent over the other two sampling strategies. For networks with simple geometry or uniform congested traffic conditions, there were no significant differences among the sampling strategies. The results of this research indicate that the homogeneous approach used by earlier deployments has limitations, and results could be potentially improved by tailoring sampling parameters to a more localized level.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

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urn:sha256:9abea088c9e8962bdf93b21ad3bb7d702b086d78940834d13c392f9012fdd7c2
Download URL:

https://rosap.ntl.bts.gov/view/dot/19819/dot_19819_DS1.pdf
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Probe sampling strategies for traffic monitoring systems based on wireless location technology.

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