Overview of Transportation Safety & Security Area of Excellence at GW and

Center for Intelligent Systems Researchwww.cisr.gwu.edu

The George Washington UniversityVirginia Campus

20101 Academic Way, Ashburn, VA 20147

Prof. Azim Eskandarian, DirectorEmail: eska@gwu.eduPH: (703) 726-8362FAX: (703) 726-8505

GW-SEAS Transportation Safety & Security Program

A Selected Area of Excellence- Research Themes

GW-SEAS: T S&S

NCAC Aviation Institute

CISR

Intelligent Systems & Transportation Research

Automotive & Highway Crashworthiness Research Aviation Safety &

Security Research

Car Driving Simulator Laboratory

Truck Driving Simulator

Laboratory

Virtual Reality

Laboratory

Traffic & Networks Laboratory

Vehicle Modeling

Laboratory

Federal Outdoor Impact

Laboratory

National Crash Analysis

Center Library

Hyundai-Kia Automotive

Safety Research Laboratory

High Performance Computing Laboratory

ICDRM

Risk ManagementMarine Transport

• A comprehensive and interdisciplinary research and analysis of automotive safety and related medical issues

• Research considers the Pre-Crash, Crash, and Post-crash Events as affected by People, Vehicle, and the Environment

Solution Approach

Dr. William Haddon (first NHTSA Administrator and a pioneer in Automotive Safety)

Matrix

CISR’s Research Mission, Areas & Accomplishments:

• Driver Assistance Systems– Drowsy/fatigue driver Detection and warning system– Passenger car and truck simulator labs experimentations– Advanced Vehicle speed Adaptation System (AVSAS)

• Active Vehicle Control Systems– Brake Model– Steering Model and control strategies– Active suspension control w/ time delay– Active-optimal control for rollover countermeasure

• Collision Avoidance Algorithms– Car following models-Intelligent Vehicles– Learning/reactive collision avoidance techniques

• Inter vehicular Networks Security Research• Virtual Reality Lab and Research

Apply Intelligent Systems and other Information Processing methods to solve transportation problems

Vehicle Simulator Laboratory

Evaluate and Model Driver’s Performance• Full Vehicle Dynamics• Complete Data Acquisition• Eye Monitoring Capability at 60Hz

• Scenario Definition• Full Size Vehicle• 135 Deg+ View

Truck Driving Simulator A wide field-of-view with a perceived front projection angle of 135 for better driving immersion.

Rear view projection system that allows drivers to manage the behavior of the trailer.

A multi-channel sound system for spatialized traffic and engine sound rendering.

A ten-speed electronic gear box that simulate gear shifting of commercial vehicles.

Automatic transmission simulation is also possible.

Steering torque feedback using a high-current DC motor for the generation of realistic road grip feeling in the steering wheel.

Passive force feedback systems to reproduce the feel of the throttle, brake, and clutch pedals.

Integrated truck cabin, in which the original controls and instrumentation are fully functional.

Full Data acquisition Multiple cameras for cabin monitoring Driver eye monitoring System

Drowsy Driver /Detection Using Artificial Neural Networks

Driver Assistance: Human (Driver) Performance Research Using Simulators

Head-Up Displays

Driver Assistance/ Warning Systems

100,000 police-reported crashes,

1,550 deaths,

71,000 injuries, and

$12.5 billion in monetary losses

Human (Driver) Performance Research Using Simulators

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AdaptiveNetwork

Compansation for

Roadway curvature Individual Behavior

0 0 0 0 0 1 0 0

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Steering Wheel Angle

Drowsy

Wake

Drowsy Driver /Detection Using Artificial Neural Networks• Method uses a special input digitization of steering signal• ANN is trained to learn the characteristics of drowsy Vs. non-drowsy

driver steering FHWA (4-DAYS)CAR

CISR 1-DAY (CAR)

CISR/ FMCSA

(TRUCK)

WAKE

Total 84 193 325

Identified 74 179 288

% Accuracy 88 % 92 % 89 %

DROWSY

Total 106 207 275

Identified 95 191 235

% Accuracy 89 % 92 % 85 %

FALSE ALARMS 10 (12%) 14(8%) 40(11%)

MISCLASSIFIED 11(11%) 18(8%) 37(15%)

Advanced Vehicle Speed Adaptation System• Speed remains as one of major causes of crashes

• Intelligent Speed Adaptation systems have been proposed and tested for warning and assisting drivers to mitigate dangerous situations

• Previous ISA’s proved various shortcomings

• Project Goal: To create an adaptive vehicular speed adaptation system that improves upon the performance of existing ISA systems in terms of system effectiveness and consumer acceptance. AVSAS will address both driver acceptance and ISA

effectiveness through three novel mechanisms:

Adaptability to individual driver’s performance and preferences

Expansion of the scope of existing ISA’s

Extended safety benefits

Utility for driver beyond enforcement of speed limits

Application of human factors research to warning timing and modality

Networks: Security• Inter-vehicle Adhoc Networks will support

Coordinated Collision Avoidance and Cooperative Driving Systems

• Adhoc networks have scalability and security challenges:– Reliance on potentially untrustworthy

nodes for network management functions

– Susceptibility to jamming attacks

– Flat network structure and nodal mobility severely affect efficiency as network size increases

• CISR has developed a robust and scalable protocols for inter-vehicle communication.

• The effectiveness of these protocols is being demonstrated through simulation and visualization of the network.

Vehicle Rollover Mitigation• Motivation: In 2000, rollover

crashes caused 9,873 deaths among passenger car and light truck occupants.

• Validated HVE program for rollover reconstruction cases.

• Rollover simulations (pre-roll phase) could be studied and specific vehicle and road issues could be investigated.

• Developing Active Suspension for rollover countermeasure