|
| Title |
HEURISTIC VEHICLE CLASSIFICATION USING INDUCTIVE SIGNATURES ON FREEWAYS
|
| Accession No |
00802518 |
| Authors |
Sun, C; Ritchie, S G |
| Journal Title |
Transportation Research Record
No. 1717 |
Corp. Authors
/ Publisher |
Transportation Research Board
|
| Publication Date |
20000000 |
| Description |
p. 130-136;
Figures(5); References(17); Tables(4) |
| Languages |
English
|
| Abstract |
Vehicle classification is the process of separating vehicles according to various predefined classes. Vehicle-classification information can be used in many transportation applications, including road maintenance, emissions/pollution estimation, traffic modeling and simulation, traffic safety, and toll setting. An example of a classification scheme using the following seven vehicle classes is presented: cars, sport-utility vehicles/pickups, vans, limousines, buses, two-axle trucks, and trucks with more than two axles. This system uses vehicle inductive signatures collected from existing loop-detector infrastructure. It also uses a heuristic-discriminant algorithm for classification and a multi-objective optimization for training the heuristic algorithm. Feature vectors obtained by processing inductive signatures are used as inputs into the classification algorithm. Three different heuristic algorithms were developed, yielding encouraging results of 81 to 91% overall classification rates. The results demonstrate the potential of collecting network-wide vehicle-classification data from inductive loops. The availability of vehicle-classification data helps to improve traffic surveillance and better defines dynamic traffic networks. |
Supplemental
Information |
This paper appears in Transportation Research Record No. 1717, Highway and Traffic Safety: Crash Data, Analysis Tools, and Statistical Methods. |
| TRT Terms |
Algorithms ; Freeways ; Heuristic methods ; Loop detectors ; Vehicle classification |
| Subject Areas |
H55 TRAFFIC FLOW, CAPACITY AND MEASUREMENTS; I72 Traffic and Transport Planning |
| ISBN |
0309066999 |
| Availability |
Transportation Research Board Business Office Find a library where document is available
|
| URLs |
|
| TRIS Files |
HRIS |
| Database |
TRIS Online |
|
TRT
