00778975

Component

https://doi.org/10.3141/1679-19

http://scholar.google.com...ande&publication_year=1999

A hierarchical methodology used to design and benefit the evaluation of vehicle-highway automation systems at various levels of granularity is described. In this hierarchy, detailed microsimulation and experimental data and performance measures feed into consecutively higher, system-level analyses. Ultimately, top-level estimates of system benefits are provided to transportation decision makers. The method is designed to accommodate studies of autonomous vehicle control concepts such as the safety services under consideration as advanced vehicle control and safety system (AVCSS) intelligent transportation system services, some of which have been discussed as U.S. Department of Transportation Intelligent Vehicle Initiative services; it will also accommodate studies of the fully automated highway systems. The method is illustrated with a multifaceted set of studies of the relationship between the degree of automated vehicle-highway cooperation and system performance improvement on the Houston, Texas, Metropolitan Transit Authority High-Occupancy Vehicle facility on Interstate 10, also known as the Katy Freeway. The primary objective is to predict performance impacts for alternative concepts, which will undergo a major investment study, in a real-world setting. The study initially focused on automated highway systems, but the methodology has since been applied to the adaptive cruise control AVCSS service.

This paper appears in Transportation Research Record No. 1679, Intelligent Transportation Systems, Vehicle-Highway Automation, and Artificial Intelligence.

English

p. 139-147

1999

Transportation Research Record

0309071054

Figures (3) ; References (12) ; Tables (3)

Adaptive control; Advanced vehicle control systems; Alternatives analysis; Automated highway systems; Benefits; Case studies; Cruise control; Decision making; High occupancy vehicle lanes; Impacts; Intelligent transportation systems; Microsimulation; Performance; Systems analysis

Intelligent Vehicle Initiative

Houston (Texas)

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

TRIS, TRB, ATRI

Dec 1 1999 12:00AM

• ANALYSIS OF INTERNATIONAL BORDER CLEARANCE TECHNOLOGIES
• ARTIFICIAL INTELLIGENCE SEARCH ALGORITHMS FOR DYNAMIC TRAFFIC ROUTING
• BREAKING THE HIGHWAY CAPACITY BARRIER: ADAPTIVE CRUISE CONTROL-BASED CONCEPT
• COMPUTATIONAL ISSUES IN MICRO-GENETIC ALGORITHMS FOR TRAFFIC MANAGEMENT
• DEVELOPMENT OF VISION-BASED VEHICLE DETECTION AND RECOGNITION SYSTEM FOR INTELLIGENT VEHICLES
• IMPACT OF INTELLIGENT CRUISE CONTROL ON MOTORWAY CAPACITY
• INCORPORATING NEURAL NETWORK TRAFFIC PREDICTION INTO FREEWAY INCIDENT DETECTION
• INTELLECTUAL CHALLENGES TO DEPLOYABILITY OF ADVANCED VEHICLE CONTROL AND SAFETY SYSTEMS
• INTELLIGENT TRANSPORTATION SYSTEMS PLANNING IN A MEDIUM-SIZED, RELATIVELY UNCONGESTED URBAN AREA
• INTELLIGENT TRANSPORTATION SYSTEMS: A TWO-EDGED SWORD FOR OLDER DRIVERS?
• LEARNING TO ASSOCIATE OBSERVED DRIVER BEHAVIOR WITH TRAFFIC CONTROLS
• LESSONS LEARNED FROM A REVIEW OF EVALUATIONS OF AUTOMATED HIGHWAY SYSTEMS
• METHOD TO PREPROCESS OBSERVED TRAFFIC DATA FOR CONSISTENCY: APPLICATION OF FUZZY OPTIMIZATION CONCEPT
• METROPOLITAN MODEL DEPLOYMENT INITIATIVE: A LEARNING EXPERIENCE
• REGIONAL ARCHITECTURES: STRENGTHENING THE TRANSPORTATION PLANNING PROCESS
• TOWARD A CONSUMER DEMAND-DRIVEN INTELLIGENT TRANSPORTATION SYSTEM POLICY: FINDINGS FROM SOUTHERN CALIFORNIA
• TRAFFIC ESTIMATION FOR PROACTIVE FREEWAY TRAFFIC CONTROL
• TRANSPORTATION OPERATIONS COORDINATING COMMITTEE SYSTEM FOR MANAGING INCIDENTS AND TRAFFIC: EVALUATION OF THE INCIDENT DETECTION SYSTEM
• UNDERSTANDING THE TRANSPORTATION POLICY PROCESS: INTELLIGENT TRANSPORTATION SYSTEMS THROUGH TWO CONCEPTUAL LENSES
• WHAT ADVANCED TRAVELER INFORMATION SYSTEM INFORMATION DO USERS WANT? EVIDENCE FROM IN-VEHICLE NAVIGATION DEVICE USERS