Travel Time Reliability and Truck Level of Service on the Strategic Intermodal System
Contracting Agency: FDOT
Principal Investigator: Dr. Lily Elefteriadou and Dr. Scott Washburn
The goal of the StrategicIntermodal System (SIS) is to provide a transportation system thatefficiently serves Florida’s citizens, businesses and visitors;helps Florida become a worldwide economic leader; enhances economicprosperity and competitiveness; enriches quality of life; andreflects responsible environmental stewardship. The SIS is composedof transportation facilities and services of statewide andinterregional significance. Much research on the SIS and its usersis needed. This initial research effort focuses on two areas:traveltime reliability and truck level of service.
Objectives - Travel Time Reliability
The objective of this researchis to develop new or enhanced models for determining and predictingtravel time reliability for travelers and freight. Now that the SISnetwork has been established, this research would concentrate on keyconnectors, routes, and corridors to determine the practicality ofusing reliability as a useful performance measure.
Objectives - Truck Level of Service onthe Strategic Intermodal System
The objective of this researchis to determine what both truck drivers and trucking companyowners/operators perceive to be the most importantfactors/determinants of SIS facility service quality and deliveryschedule reliability and safety. All aspects of a trip will beconsidered—from the pick-up of goods at a seaport, rail port,airport, or distribution warehouse to the travel along highwaycorridors (connectors, arterials, highways, interstates, etc.) tothe delivery of the goods at the final destination. It should benoted that the focus will be on operational and design policies andissues (e.g., truck lane restrictions, traffic congestion, mediandesign, etc.) as opposed to truck industry regulations (e.g., numberof continuous hours of driving, maximum non-permit weight loads,etc.).
It is expected that the resultsof this research will provide the foundation for future studies inwhich the identified factors and/or performance measures can beincorporated into delivery schedule reliability and service qualitypredictive models.