00757603

Component

https://doi.org/10.3141/1651-12

http://scholar.google.com...pman&publication_year=1998

A combination of market forces, cost constraints, and other factors necessitates incremental evolution of a fully automated highway system (AHS) rather than instantaneous deployment. Thus, an understanding of the interdependencies among required AHS functional capabilities is essential for planning. In this paper a set of three AHS functional evolution reference models is proposed that include essential as well as supplemental functions. The reference models include lateral motion handling, longitudinal motion handling, obstacle handling, and selected infrastructure support functions. This family of three models is used to present the needs of baseline autonomous tactical vehicle operation, the benefits of adding inter-vehicle communications, and the benefits of adding infrastructure support. The reference models reveal a critical need for vehicle motion prediction capability and suggest that both communications and infrastructure support are beneficial but not mandatory for achieving an AHS. Furthermore, there appear to be a number of safety and efficiency benefits that can be realized with only partial automation and in some cases no automation. These results could help set priorities and guide strategies for incremental introduction of AHS technology into vehicles and roadways.

This paper appears in Transportation Research Record No. 1651, Intelligent Transportation Systems, Automated Highway Systems, Traveler Information, and Artificial Intelligence.

English

p. 80-88

1998

Transportation Research Record

0309065232

Figures (3) ; References (7)

Automated highway systems; Deployment; Driving; Functions (Mathematics); Handling characteristics; Hazards; Infrastructure; Strategic planning

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Dec 18 1998 12:00AM

• APPLICATION OF FUZZY LOGIC TO THE CONTROL OF A PEDESTRIAN CROSSING SIGNAL
• APPLYING BENEFIT/COST ANALYSIS TO IDENTIFY AND MEASURE THE BENEFITS OF INTELLIGENT TRANSPORTATION SYSTEMS
• ARTIFICIAL INTELLIGENCE-BASED ARCHITECTURE FOR REAL-TIME TRAFFIC FLOW MANAGEMENT
• AUTOMATED HIGHWAY SYSTEM FIELD OPERATIONAL TESTS: POTENTIAL SITES, CONFIGURATIONS, AND CHARACTERISTICS
• AXIOMATIC APPROACH TO DEVELOPING PARTIAL AUTOMATION CONCEPTS FOR DEPLOYMENT OF AUTOMATED HIGHWAY SYSTEMS AND PARTIAL INVOCATION OF VISION-BASED LANE-KEEPING AND ADAPTIVE CRUISE CONTROL
• BEST NEIGHBOR HEURISTIC SEARCH FOR FINDING MINIMUM PATHS IN TRANSPORTATION NETWORKS
• EVOLVING INTEROPERABILITY WITH NATIONAL TRANSPORTATION COMMUNICATION FOR INTELLIGENT TRANSPORTATION SYSTEMS PROTOCOLS
• INCORPORATING INTELLIGENT TRANSPORTATION SYSTEMS INTO MAJOR INVESTMENT STUDIES: CONCEPTUAL ISSUES AND CHALLENGES
• INTERMEDIATE AUTOMATION CONCEPTS FOR INCREMENTAL DEPLOYMENT OF AUTOMATED HIGHWAY SYSTEMS
• KNOWLEDGE ACQUISITION FOR LARGE-SCALE EXPERT SYSTEMS IN TRANSPORTATION
• MICROSCOPIC SIMULATION ANALYSIS FOR AUTOMATED HIGHWAY SYSTEM MERGING PROCESS
• NEW VEHICLE DATA BUS ARCHITECTURE AND IN-VEHICLE INFORMATION SYSTEM EVALUATION PLATFORM FOR INTELLIGENT TRANSPORTATION SYSTEMS MODULES
• OPPORTUNITIES FOR PROGRESSIVE DEPLOYMENT OF INTELLIGENT TRANSPORTATION SYSTEMS/AUTOMATED HIGHWAY SYSTEM TECHNOLOGIES IN SUPPORT OF COMMERCIAL VEHICLE OPERATIONS
• REGIONAL INTELLIGENT TRANSPORTATION SYSTEMS ARCHITECTURES AND THE COMPETITIVE REGION
• SHORT-TERM FREEWAY TRAFFIC VOLUME FORECASTING USING RADIAL BASIS FUNCTION NEURAL NETWORK
• WHY WE SHOULD DEVELOP A TRULY AUTOMATED HIGHWAY SYSTEM