00743094

Component

https://doi.org/10.3141/1588-17

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

The optimal ranges of traffic flow and capacity will be determined for selected scenarios, in which different proportions of automated and conventional traffic will operate simultaneously in an automated highway system (AHS). It is found that there will be a substantial increase in the net benefit and the traffic flow and capacity ranges when there is a higher proportion of AHS traffic. The optimal range of capacity refers to the maximum range of traffic volumes, for which there will be some net benefit, which is the difference between the total cost and the total benefit for each flow. The total cost represents the production and operating costs of the infrastructure and the expenditure borne by the user, whereas the total benefit refers to the time saving to the user. It is concluded that more AHS vehicles should be produced in order to achieve economic efficiency, improved traffic capacity, and safety in travel.

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

English

0000-0003-4369-3401

p. 137-144

1997

Transportation Research Record

0309061628

Figures (7) ; References (4) ; Tables (7)

Automated highway systems; Benefit cost analysis; Deployment; Economic efficiency; Highway capacity; Traffic flow; Traffic safety

Economics; Highways; Society; I10: Economics and Administration

TRIS, TRB, ATRI

Nov 5 1997 12:00AM

• AUTOMATIC VEHICLE IDENTIFICATION TECHNOLOGY APPLICATIONS TO TOLL COLLECTION SERVICES
• 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
• PERSPECTIVES ON DRIVER PREFERENCES FOR DYNAMIC ROUTE GUIDANCE SYSTEMS
• 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