00743081

Component

https://doi.org/10.3141/1588-04

http://scholar.google.com...lton&publication_year=1997

Insights about the design of route guidance systems based on the needs and desires of drivers who are familiar with the travel network are provided. Results from the ADVANCE Intelligent Transportation System operational test, in which more than 100 drivers used vehicles equipped with dynamic route guidance systems for 2-week periods, suggest that such drivers value real-time traffic information, and they want to incorporate their own knowledge and perspectives into the development of route plans, which they expect to be superior to those prepared by the navigation computer. This suggests that future route guidance systems likely to be targeted at familiar drivers should be based on a sharing of tasks between computer and driver that takes greater advantage of driver knowledge than that considered in current designs. Specifically, the driver should be able to take more responsibility for route planning, with the computer responsible mainly for traffic congestion data acquisition, organization and storage, and evaluation of driver-defined routes.

This paper appears in Transportation Research Record No. 1588, Intelligent Transportation Systems and Artificial Intelligence.

English

p. 26-31

1997

Transportation Research Record

0309061628

Figures (1) ; References (7) ; Tables (3)

Drivers; Human machine systems; Intelligent transportation systems; Knowledge; Operations; Real time control; Route choice; Route guidance

Operational test and evaluation; Route planning

Administration and Management; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Nov 4 1997 12:00AM

• AUTOMATIC VEHICLE IDENTIFICATION TECHNOLOGY APPLICATIONS TO TOLL COLLECTION SERVICES
• COST-BENEFIT ANALYSIS ON DEPLOYMENT OF AUTOMATED HIGHWAY SYSTEMS
• CRITICAL REVIEW OF EXPERT SYSTEM VALIDATION IN TRANSPORTATION
• DEVELOPING A MARKET-SENSITIVE INTELLIGENT TRANSPORTATION SYSTEMS EDUCATIONAL PROGRAM
• DYNAMIC TRAFFIC ASSIGNMENT: GENETIC ALGORITHMS APPROACH
• EVALUATING EFFECTIVENESS OF REAL-TIME ADVANCED TRAVELER INFORMATION SYSTEMS USING A SMALL TEST VEHICLE FLEET
• FRAMEWORK FOR DEVELOPING A REGIONAL SYSTEM ARCHITECTURE FOR INTELLIGENT TRANSPORTATION SYSTEMS
• GUIDELINES FOR FUNDING OPERATIONS AND MAINTENANCE OF INTELLIGENT TRANSPORTATION SYSTEMS/ADVANCED TRAFFIC MANAGEMENT SYSTEMS
• INTELLIGENT TRANSPORTATION SYSTEMS AND SUSTAINABLE COMMUNITIES: FINDINGS OF A NATIONAL STUDY
• MACHINE LEARNING IN UPDATING PREDICTIVE MODELS OF PLANNING AND SCHEDULING TRANSPORTATION PROJECTS
• MACROSCOPIC MODELING OF FREEWAY TRAFFIC USING AN ARTIFICIAL NEURAL NETWORK
• PLANITS: STRUCTURING AND SUPPORTING THE INTELLIGENT TRANSPORTATION SYSTEMS PLANNING PROCESS
• PROMOTING ADVANCED TRAVELER INFORMATION SYSTEMS AMONG CELLULAR AND LAND-LINE PHONE USERS: SMARTRAVELER EXPERIENCE IN BOSTON
• REAL-TIME MULTIPLE-OBJECTIVE PATH SEARCH FOR IN-VEHICLE ROUTE GUIDANCE SYSTEMS
• TECHNICAL AND ECONOMIC VIABILITY OF AUTOMATED HIGHWAY SYSTEMS: PRELIMINARY ANALYSIS
• TRAFFIC ANALYSIS FOR HIGHWAY-TO-HIGHWAY INTERCHANGES ON AUTOMATED HIGHWAY SYSTEMS: CONGESTION IN ABSENCE OF DEDICATED RAMPS
• WILLINGNESS TO PAY FOR ADVANCED TRAVELER INFORMATION SYSTEMS: SMARTRAVELER CASE STUDY