Advanced filtering and prediction software for urban traffic control systems. Draft final report
The results are reported of the first year of effort in a program designed to develop better software for the computer control of urban traffic. Several candidate models for traffic flow in an urban network were developed, and filter/predictors of traffic flow based on these models were derived. The results show that these models can lead to improved signal timing algorithms. It is concluded that good models of the statistical data from detectors located in urban streets have been developed. These models have lead to effective filters and predictors of traffic flow. These filters and predictors take the form of computer algorithms whose inputs are real time detector data and whose outputs are estimates of queues at traffic signals and platoon length at locations in the network. They could be used to improve computerized traffic control systems. (LCL)
- Research Organization:
- Maryland Univ., College Park (USA). Dept. of Electrical Engineering
- OSTI ID:
- 6653787
- Report Number(s):
- NP-23385
- Country of Publication:
- United States
- Language:
- English
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