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1 Evaluation of Effectiveness of Automated Workzone Information Systems Lianyu Chu CCIT, University...

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1 U niversity of C alifornia Irvine U niversity of C alifornia Irvine U niversity of C alifornia Irvine U niversity of C alifornia Irvine Evaluation of Effectiveness of Automated Workzone Information Systems Lianyu Chu CCIT, University of California Berkeley Hee-Kyung Kim, Yonshik Chung, Will Recker University of California Irvine
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1University of California

IrvineUniversity of California

IrvineUniversity of California

IrvineUniversity of California

Irvine

Evaluation of Effectiveness of Automated Workzone Information Systems

Lianyu Chu CCIT, University of California Berkeley

Hee-Kyung Kim, Yonshik Chung, Will ReckerUniversity of California Irvine

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OUTLINE

• Introduction

• Framework and Operation of CHIPS

• Safety Effects

• Diversion Effects

• Driver Survey

• Conclusion

3University of California

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Background

ITS AWIS Central Controller

Traffic Sensors

Changeable Message

Signs provide traffic information to travelers

potentially:

-> increase safety

-> improve the efficiency of traffic system

Benefits

work zones have become one of source of traffic congestion

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Background

Example of AWIS ADAPTIR

CHIPS

Smart Zone

TIPS

Evaluation studies Most studies: system functionality and reliability

Few studies: effectiveness of AWISs

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Objectives & approach

Evaluation of CHIPS

Developed by ASTI

Deployed in southern California

focus: effectiveness Safety effects

Diversion effects

Drivers’ acceptance

Approach: before and after study

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• Introduction

• Framework and Operation of CHIPS System Structure Study Area

System Setup

• Safety Effects• Diversion Effects • Driver Survey• Conclusion

OUTLINE

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System Structure

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Study Area

Site Location City of Santa Clarita, 20 miles north

of Los Angeles, on freeway I-5

I-5: 4-lane freeway with the closure of one lane on the median side

Construction zone: 1.5 miles long Parallel route: the Old Road

System Configuration - 3 RTMSs

- 5 PCMSs - 3 CCTV cameras

9University of California

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System Setup

ScenarioQueue Detector CMS Combo Message

RTMS-1 RTMS-2 RTMS-3 PCMS-1 PCMS-2 PCMS-3 PCMS-4 PCMS-5

SBS01 F F F CMB01 CMB01 CMB01

SBS02 T F F CMB02 CMB03 CMB05

SBS03 T T F CMB06 CMB07 CMB03 CMB10

SBS04 T T T CMB06 CMB07 CMB08 CMB09 CMB11

T = Queue being detected, F = No queue being detected

Scenario SBS04: all three RTMSs have congestion, the following messages are shown on PCMSs:

CMB06 : SOUTH 5/TRAFFIC/JAMMED, AUTOS/USE NEXT/EXIT CMB07 : JAMMED/TO MAGIC/MOUNTAIN, EXPECT/10 MIN/DELAY CMB08 : JAMMED/TO MAGIC/MOUNTAIN, EXPECT/15 MIN/DELAY CMB09 : TRAFFIC JAMMED TO MAGIC MTN, AVOID DELAY USE NEXT EXIT CMB11: SOUTH 5 ALTERNAT ROUTE, AUTOS USE NEXT 2 EXITS

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• Introduction• Framework and Operation of CHIPS

• Safety Effects Data Collection Traffic Throughput Travel Speed

• Diversion Effects • Driver Survey• Conclusion

OUTLINE

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Data Collection

Collection locations RTMS-1: 0.15 mile before construction RTMS-2: 1.19 miles before construction

Collection time Before scenario : Aug. 17th, 2003 After scenario : Sep. 1st , 2003

Collection Methods Jamar DB-100 counters and Bushnell Speed Guns

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Traffic Volume Variance

Total Lane 1 Lane 2 Lane 3 Lane 4

RTMS-1BeforeAfter

11.66.5

11.66.5

15.76.3

3.44.5

7.87.6

RTMS-2BeforeAfter

37.431.2

4.44.2

2.84.6

3.94.3

1.82.4

11.66.5

15.76.3

44.925.4

Difference between before and after values is significant (90% confidence level)

With the grouped traffic data, the difference of variance was significant at RTMS-1, which means that the variance of the after scenario was statistically smaller than that of the before scenario With lane-based traffic data, the significant differences of variances were found for lane 1 and lane 2 at RTMS-1

Variance of traffic volume based on 1-min data

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Speed Mean and Variance

# of Samples

Sample Mean

Standard Deviation

Sample Variance

RTMS-1Before

After

979

970

29.9

30.6

8.9

7.1

80.0

50.2

RTMS-2Before

After

1,186

993

21.2

21.0

5.7

3.7

32.4

13.5

RTMS-1 RTMS-2

80.050.2

32.413.5

Difference between before and after values is significant (90% confidence level)

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• Introduction• Framework and Operation of CHIPS• Safety Effects

• Diversion Effects

Data Collection Calculation of Diversion Diversion Estimation Travel Time Analysis

• Driver Survey• Conclusion

OUTLINE

Lake HughesOff-ramp

Hasley CanyonOff-ramp

SR-126

I-5Old Road

Rye CanyonOff-ramp

Magic MountainOn-ramp

ValenciaOn-ramp

Old Road I-5

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Data Collection

Collection Methods I-5 mainline traffic volume : PeMS database Off-ramp traffic volume : Tube counter

Collection Periods Before scenario : May 13th ~ May 18th,2003 May

18th

After scenario : Independence Holiday weekend (June 30th ~ July 7th, 2003) July 6th

Labor Holiday weekend (Aug. 30th ~ Sep. 2nd, 2003) Sep. 1st

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Calculation of Diversion

Proportion-based method

P =Voff

V

V

Voff

I-5 S

Old road

= Pa - Pb =Voff

a

Va

Voffb

Vb

Vd = Va

Proportion

Diversion rate

Diversion traffic volume

a : after scenariob : before scenario

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Diversion Estimation

Hasley Canyon off-ramp traffic proportions

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Diversion Estimation

Estimation of diversion traffic volume

Based on Caltran’s traffic report regarding Maximum DelayOn July 6th 15:30 ~ 17:30

On Sep. 1st 17:30 ~ 20:00

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Travel Time Analysis

Comparison of travel times- July 6th ,2003 by GPS-based probe vehicles survey

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Driver Survey

Method : Postcard-based survey

Location : Lake Hughes and Hasley Canyon off-

ramp

Date : 1:40~4:30 PM, Sunday, July 6th , 2003

Response rate : 25% (100/400)

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Driver Survey

Did the traffic signs influence route choice? Yes : 78% of people who saw the PCMS message

Why did you get off the I-5 south? 73% : avoid traffic 22% : buy gas and foods 5% : arrived at destination

Did you find these signs useful? (check all that apply) 70% : useful for providing information 63% : useful for taking alternative routes 53% : useful for avoiding delay 48% : useful for reducing anxiety 9% : NOT useful

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Conclusion

Three aspects of effectiveness studies were conducted, including traffic diversion, safety effects, and responses from travelers

The results of these studies showed that: Obvious diversion were observed on two evaluation

dates, July 6th and September1st Based on the study of the effects of traffic flow, the

driving environment after the use of CHIPS seemed safer

Positive responses about the system were obtained based on driver surveys.

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Conclusion

• The safety has been enhanced– Stable traffic condition (speed and volume

variance)• Network performance improved

– 12% of diversion was observed– Alternative was still faster than mainline

• Driver response– 70% of drivers expressed the system to be useful

• Direct quantification was not made, but found positive effectiveness of the system.


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