00985993

Component

https://doi.org/10.3141/1886-11

http://scholar.google.com...rlis&publication_year=2004

In June 2003, the FHWA introduced the first intelligent intersection, capable of assisting drivers in avoiding right-angle collisions that typically occur at intersections. One of the concepts that intelligent collision-avoidance systems displayed was a violator warning system, consisting of an illuminated sign with strobe lights to alert distracted drivers that they may violate an approaching red signal. Proposed is a novel approach for creation of an algorithm to predict and alert likely inattentive signal violators in time for them to react to an infrastructure-based warning. The algorithm is based on comparing velocity and acceleration data of vehicles traveling at free-flow speeds through an intersection with data from alert motorists stopping for a red signal on the same approach. Kinematic data were obtained at four intersections for two sets of motorists, those who were stopping for a red light and those who were going through a green light. It was presumed that inattentive violators act identically to attentive drivers with a green signal. Comparison of speed and acceleration profiles revealed distinct differences that could be used to distinguish into which subset a given vehicle would fall, well in advance of the intersection. These comparisons yield a simple, economical, and site-specific algorithm for detecting inattentive motorists about to violate a signal.

This paper appears in Transportation Research Record No. 1886, Intelligent Transportation Systems and Vehicle-Highway Automation 2004.

00985982

English

p. 85-91

2004

Transportation Research Record

030909481X

Figures (11) ; References (6)

Alertness; Algorithms; Attention lapses; Intelligent transportation systems; Mathematical prediction; Prevention; Red light running; Traffic violators; Warning systems

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning; I73: Traffic Control

TRIS, TRB, ATRI

Feb 18 2005 12:00AM

• ADAPTIVE PLANNING FOR DEALING WITH UNCERTAINTY IN IMPLEMENTING ADVANCED DRIVER ASSISTANCE SYSTEMS
• COMPARATIVE ANALYSIS OF CUSTOMER RESPONSE TO ONLINE TRAFFIC INFORMATION IN TWO CITIES: LOS ANGELES, CALIFORNIA, AND SEATTLE, WASHINGTON
• DATA REQUIREMENTS FOR ENHANCED DIGITAL MAPS IN AN ADVANCED CURVE-SPEED WARNING SYSTEM
• DEPLOYMENT OF INTELLIGENT TRANSPORTATION SYSTEMS IN COUNTRIES WITH DEVELOPING AND TRANSITIONAL ECONOMIES: ITS TOOLKIT
• EMERGENCY EVACUATION PLANNING WITH MICROSCOPIC TRAFFIC SIMULATION
• METHOD FOR IDENTIFYING VEHICLE MOVEMENTS FOR ANALYSIS OF FIELD OPERATIONAL TEST DATA
• MULTIOBJECTIVE MODEL FOR LOCATING AUTOMATIC VEHICLE IDENTIFICATION READERS
• PARKING GUIDANCE SYSTEM: SAN JOSE, CALIFORNIA
• SOUTH JERSEY REAL-TIME MOTORIST INFORMATION SYSTEM: TECHNOLOGY AND PRACTICE
• TRAVELER INFORMATION PROVISION FOR INCIDENT MANAGEMENT: IMPLICATIONS FOR VEHICLE EMISSIONS
• USER PERCEPTIONS AND PREFERENCES OF ADVANCED DRIVER ASSISTANCE SYSTEMS
• USING DECISION TREES TO IMPROVE THE ACCURACY OF VEHICLE SIGNATURE REIDENTIFICATION
• USING MICROSCOPIC SIMULATION TO EVALUATE POTENTIAL INTELLIGENT TRANSPORTATION SYSTEM STRATEGIES UNDER NONRECURRENT CONGESTION
• WHAT WE KNOW NOW THAT WE WISH WE KNEW THEN ABOUT INTELLIGENT TRANSPORTATION SYSTEMS: A RETROSPECTIVE ON THE 1992 STRATEGIC PLAN