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Human Factors Research Issues for Cooperative Intersection Collision Avoidance Systems (CICAS) Vicki...

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Human Factors Human Factors Research Issues for Research Issues for Cooperative Cooperative Intersection Intersection Collision Avoidance Collision Avoidance Systems Systems (CICAS) (CICAS) Vicki Neale, Ph.D. Vicki Neale, Ph.D. Director, Center for Vehicle- Director, Center for Vehicle- Infrastructure Safety Infrastructure Safety Virginia Tech Transportation Institute Virginia Tech Transportation Institute
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Human Factors Human Factors Research Issues for Research Issues for

Cooperative Cooperative Intersection Collision Intersection Collision

Avoidance SystemsAvoidance Systems(CICAS)(CICAS)

Vicki Neale, Ph.D.Vicki Neale, Ph.D.

Director, Center for Vehicle-Infrastructure Director, Center for Vehicle-Infrastructure SafetySafety

Virginia Tech Transportation InstituteVirginia Tech Transportation Institute

CICAS OverviewCICAS Overview CICAS will use vehicle/infrastructure

communications to address traffic signal and stop sign intersection crashes. ~2 M Crashes Per Year 32% of All Police-Reported Crashes (TSF,

2005) • Other: 11%

• Left Turn Into Path: 4%

• Left Turn Across Path/ Opposite Direction : 28%

• Left Turn Across Path/ Lateral Direction: 16% •Straight

Crossing Path: 37%

• Right Turn Into Path: 4%

Intersection Crash Types of Intersection Crash Types of FocusFocus

Straight-Crossing Path CrashesStraight-Crossing Path Crashes

Left Turn Across Path/Opposite Left Turn Across Path/Opposite DirectionDirection

Stop Sign AssistStop Sign Assist

CICAS-V Signal System CICAS-V Signal System (Addresses SCP and Some LTAP (Addresses SCP and Some LTAP

Crashes)Crashes)

On Board Equipment (OBE)

No Dedicated turn signals

No Dedicated turn signals

Left turn and through signals

Left turn and through signals

X

Lane Centerline

Intersection Location X

X

X

X

X

Stopping Location X

Intersection ID: 23983

1 2

3

4

5

6 7

10

9

8

Lane ID 5

Traffic signal informationLane 1 Status red 4 secLane 2 Status red 4 secLane 3 Status green

Positioning Correction

Warning

TrafficControl Device

DSRC Radio

Processor

GPSMap

Storage

Road Side Equipment

(RSE)

OBE

No Dedicated turn signals

No Dedicated turn signals

Left turn and through signals

Left turn and through signals

X

Lane Centerline

Intersection Location X

X

X

X

X

Stopping Location X

Intersection ID: 23983

1 2

3

4

5

6 7

10

9

8

Lane ID 5

Warning

DSRC radio

Processor

GPSMap

Storage

Road Side Equipment

(RSE)

CICAS-V Stop-Control CICAS-V Stop-Control SystemSystem

LTAP/OD SystemLTAP/OD System

On Board Equipment (OBE)

No Dedicated turn signals

No Dedicated turn signals

Left turn and through signals

Left turn and through signals

X

Lane Centerline

Intersection Location X

X

X

X

X

Stopping Location X

Intersection ID: 23983

1 2

3

4

5

6 7

10

9

8

Lane ID 5

TrafficSignal

Information

Warning

TrafficControl Device

DSRC radio

Processor

GPSState MapStorage

Road Side Equipment

(RSE)

Proceed

Stop Sign AssistStop Sign Assist

Vehicle Sensors ProcessorState Map Storage

Road Side Equipment

(RSE)

Inter-Regional Corridor

Advisor

Advisor

Human Factors Research Human Factors Research IssuesIssues

Each warning system has human factors Each warning system has human factors research needs in common, although the method research needs in common, although the method to address the research need and final answer to address the research need and final answer may be different for each.may be different for each. Development of an Algorithm (Warning timing)Development of an Algorithm (Warning timing)

Depends on warning type and driver characteristicsDepends on warning type and driver characteristics Driver alertness (Willful violation vs. Unintentional due to Driver alertness (Willful violation vs. Unintentional due to

distraction)distraction) AgeAge

For example, with Gap acceptance issues, if design for older For example, with Gap acceptance issues, if design for older drivers, younger drivers may consider warning “too early”drivers, younger drivers may consider warning “too early”

Determining the driver interface (in-vehicle or Determining the driver interface (in-vehicle or infrastructure)infrastructure)

Determining acceptance of alert rates, including Determining acceptance of alert rates, including nuisance alarm ratesnuisance alarm rates

Determining scenarios for which warning is Determining scenarios for which warning is appropriateappropriate

Determining overall system reliabilityDetermining overall system reliability

Example: Addressing HF Example: Addressing HF Issues in CICAS-V Issues in CICAS-V

TASK 3.1:100 CAR DATA

MINING

TASK 3.3:SMART ROAD

STUDIES

PREVIOUS RESEARCH:

OEMS

ICAVIDS

OTHER

Timing Corrections

Timing Intervals

PLANNING AND

COORDINATION TASK

TASK 13:FOT

EXPERIMENTAL DESIGN

TASK 10:FOT

PROTOTYPE BUILD

TASK 11:OBJECTIVE

TESTING

TASK 3.4:PILOT FOT

TASK 3.2: NATURALISTIC

DATA COLLECTION

Data to Support USDOT / Volpe

Crash Benefits Estimation

CICAS-V Subtask 3.1CICAS-V Subtask 3.1 Sample Research Question:Sample Research Question: What are the circumstances under which a What are the circumstances under which a

driver violates?driver violates? Willful vs. unintentional violatorWillful vs. unintentional violator

Driver distraction observedDriver distraction observed Distraction types observedDistraction types observed

Intersection control type (signal, stop sign) Intersection control type (signal, stop sign) Time after red phase onset (for signalized intersection Time after red phase onset (for signalized intersection

only)only) Visual checking behavior (e.g., looking both ways at Visual checking behavior (e.g., looking both ways at

intersection) intersection) Driver ageDriver age Driver genderDriver gender Driver aggressiveness (e.g., car following behavior)Driver aggressiveness (e.g., car following behavior) Following driver presence/headwayFollowing driver presence/headway Intersection approach speedIntersection approach speed Posted speed limitPosted speed limit Traffic densityTraffic density Time of dayTime of day Weather/Visibility/Road conditionsWeather/Visibility/Road conditions

To Address the Research To Address the Research QsQs

Mining the 100-Car Database to Mining the 100-Car Database to understand what drivers are doing understand what drivers are doing when they commit violations and when they commit violations and near-violations.near-violations.

CICAS-V Subtask 3.2CICAS-V Subtask 3.2

Research QuestionsResearch Questions How many false alarms and misses How many false alarms and misses

result from any particular algorithm?result from any particular algorithm? How often do vehicles violate any How often do vehicles violate any

particular signalized or stop controlled particular signalized or stop controlled intersection?intersection?

Use naturalistic driving approaches Use naturalistic driving approaches to intersections to refine the alert to intersections to refine the alert timing approach and determine rates timing approach and determine rates of violations and near-violationsof violations and near-violations

To Address the Research QsTo Address the Research Qs

Predicted Metric Example

Compliance Violator

Compliance Correct Rejection False Alarm Observed

Violator Miss Hit

CICAS-V Subtask 3.3CICAS-V Subtask 3.3

Determine the Driver Vehicle Determine the Driver Vehicle InterfaceInterface Is the warning meaningful?Is the warning meaningful? Does it illicit the appropriate response Does it illicit the appropriate response

in a timely manner?in a timely manner? DVI Issues DVI Issues

Driver perception of scenarioDriver perception of scenario Driver reaction timeDriver reaction time Final algorithmFinal algorithm

To Address the Research To Address the Research QsQs

Conducting a series of controlled Conducting a series of controlled Smart Road tests to evaluate drivers’ Smart Road tests to evaluate drivers’ response to DVIs in a “surprise” response to DVIs in a “surprise” trial.trial.

IDS/ICAV Occlusion TechniqueIDS/ICAV Occlusion Technique

Open State(light is green)

Open State(alert issued; light turns from amber to red)

Closed State for 2 Seconds

(light turns amber)

Occlusion technique used to simulate driver distraction and place precise

experimental control over when forward scene and traffic signal phase

can be viewed

VTTI Smart Road intersection

CICAS-V Subtask 3.4CICAS-V Subtask 3.4

How will the final CICAS-V system How will the final CICAS-V system function in the real-world with naïve function in the real-world with naïve drivers?drivers?

What needs to be changed?What needs to be changed? Are we FOT ready?Are we FOT ready?

To Address the Research To Address the Research QsQs

Conduct a pilot FOT with naïve Conduct a pilot FOT with naïve drivers using the final FOT CICAS-V drivers using the final FOT CICAS-V system design.system design.

This final HF task is the culmination This final HF task is the culmination of the coordination of all of the HF of the coordination of all of the HF and non-HF tasks.and non-HF tasks.

Challenges/Next StepsChallenges/Next Steps

Conduct FOT to investigate potential Conduct FOT to investigate potential safety benefits and customer acceptance safety benefits and customer acceptance associated with the systemassociated with the system

Determine how to integrate the CICAS Determine how to integrate the CICAS warnings with each other and with other warnings with each other and with other in-vehicle warningsin-vehicle warnings Understand how integrated systems perform Understand how integrated systems perform

in the real world in the real world Maintaining the necessary coordination Maintaining the necessary coordination

and collaborationand collaboration


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