00819936

Component

https://doi.org/10.3141/1748-21

http://scholar.google.com...hnan&publication_year=2001

A set of mathematical models is defined to predict the effects of emerging driver control assistance systems such as adaptive cruise control (ACC) on traffic flow dynamics and capacity. It is important to understand these effects in order to ensure that ACC systems are implemented in ways that improve, rather than degrade, traffic conditions. Existing traffic models were not designed for, and are not suitable for, this purpose, so it has been necessary to develop a new family of simulation models incorporating the key elements of driver behavior and control system design that will affect traffic flow dynamics and capacity. Example outputs from simulation validation test cases are illustrated and explained to show that the models are producing reasonable results.

This paper appears in Transportation Research Record No. 1748, Advanced Traffic Management Systems and Vehicle-Highway Automation 2001.

English

p. 167-174

2001

Transportation Research Record

0309072077

Figures (9) ; References (20)

Autonomous intelligent cruise control; Behavior; Case studies; Control systems; Driver support systems; Highway capacity; Mathematical models; Traffic flow; Traffic models; Traffic simulation; Validation

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Nov 5 2001 12:00AM

• ASSESSMENT OF STOCHASTIC SIGNAL OPTIMIZATION METHOD USING MICROSIMULATION
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• COMPARATIVE ANALYSIS OF OPERATIONAL ALGORITHMS FOR COORDINATED RAMP METERING
• COMPARISON OF TRANSIMS AND CORSIM TRAFFIC SIGNAL SIMULATION MODULES
• CONFIGURATION MANAGEMENT IN TRANSPORTATION MANAGEMENT SYSTEMS: EVALUATION OF NEED
• FREEWAY CRASH TIMELINE CHARACTERISTICS AND USES
• FREEWAY PERFORMANCE MEASUREMENT SYSTEM: MINING LOOP DETECTOR DATA
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• OPTIMAL COORDINATED RAMP METERING WITH ADVANCED MOTORWAY OPTIMAL CONTROL
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• TEXAS DRIVER UNDERSTANDING OF ABBREVIATIONS FOR CHANGEABLE MESSAGE SIGNS
• TRANSITION STRATEGIES TO EXIT PREEMPTION CONTROL: STATE-OF-THE-PRACTICE ASSESSMENT
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