Name
Abstract | ||
|---|---|---|
A system is described that measures the vehicle count and travel time in the links of a road network. The measurements require matching vehicle signatures recorded by a wireless magnetic sensor network. The matching algorithm is based on a statistical model of the signatures. The model itself is estimated from the data. The approach is first discussed for a single-lane road and extended to multiple-lane roads. The algorithm yields a correct matching rate of 75% for a false matching rate of 5% and reliably estimates the number of vehicles on each link and its travel-time distribution. The system is tested on a 0.9-mi-long segment of San Pablo Avenue, Albany, CA. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TITS.2010.2050881 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
travel time,link vehicle count,signature matching,statistical analysis,wireless magnetic sensor network,vehicles,real-time measurement,vehicle count,road network,false matching rate,single-lane road,road network link,matching algorithm,algorithm yield,spatial occupancy,vehicle signature,vehicle reidentification,correct matching rate,vehicle signature matching,real-time systems,magnetic sensors,statistical model,ergonomics,real time systems,suicide prevention,sensors,injury prevention,human factors,occupational safety,time measurement,real time | Wireless network,Wireless,Telecommunications,Sensor array,Real-time computing,Artificial intelligence,Accident prevention,Computer vision,Statistical model,Engineering,Travel time,Wireless sensor network,Blossom algorithm | Journal |
Volume | Issue | ISSN |
11 | 4 | 1524-9050 |
Citations | PageRank | References |
20 | 1.74 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karric Kwong | 1 | 20 | 1.74 |
| Robert Kavaler | 2 | 41 | 4.64 |
| Ram Rajagopal | 3 | 375 | 54.06 |
| Pravin Varaiya | 4 | 2543 | 298.93 |