Knowledge Based Expert Systems for Post-Incident Freeway Traffic Control

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by Zoe Ketselidou, Joint Research Cent, Italy,
Paul W. Shuldiner, Joint Research Cent, Italy,
John Collura, Joint Research Cent, Italy,

Document Type: Proceeding Paper

Part of: Microcomputer Applications in Transportation III:

Abstract: A knowledge based expert system for rerouting traffic upstream of an accident or other capacity-reducing incident on a freeway network is developed and compared with results obtained using FHWA's TRAFLO simulation model. Data relating to a section of the Long Island Expressway and Northern State/Grand Central Parkway freeway corridor are used to analyze various diversion strategies intended to reduce delay to on-freeway traffic following an incident. The ratio of computed delay using the expert system and the simulation models ranges from 0.67 to 1.27. More extensive testing of the expert system appears warranted as does extension of this methodology to include the calculation of delay in the corridor as a whole.

Subject Headings: Traffic accidents | Traffic models | Traffic delay | Expert systems | Highways and roads | Intelligent transportation systems | Knowledge-based systems |

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