原文传递
HEURISTIC VEHICLE CLASSIFICATION USING INDUCTIVE SIGNATURES ON FREEWAYS.
| 题名： | HEURISTIC VEHICLE CLASSIFICATION USING INDUCTIVE SIGNATURES ON FREEWAYS. |
| 作者： | Sun-C; Ritchie-SG |
| 关键词： | Algorithms-; Freeways-; Heuristic-methods; Loop-detectors; Vehicle-classification |
| 摘要： | 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. |
| 总页数： | Transportation Research Record. 2000. (1717) pp130-136 (5 Fig., 4 Tab., 17 Ref.) |
| 报告类型： | 科技报告 |
相关文献
- Development of a New Methodology to Characterize Truck Body Types along California Freeways.
- INITIAL EVALUATION OF SELECTED DETECTORS TO REPLACE INDUCTIVE LOOPS ON FREEWAYS.
- SAFETY EVALUATION OF ROLLED-IN CONTINUOUS SHOULDER RUMBLE STRIPS INSTALLED ON FREEWAYS.
- Investigating Inductive Loop Signature Technology for Statewide Vehicle Classification Counts.
- Sure-Se Sensors for Unplanned Roadway Events Simulation and Evaluation.
- Estimating Intersection Control Delay Using Large Data Sets of Travel Time from a Global Positioning System.
检索历史
应用推荐
