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Intelligent Transportation Systems for Work Zones

Deployment Benefits and Lessons Learned


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Benefits

Dynamic Lane Merge Improves Capacity, Decreases Travel Time
ITS Eases the Pain of Road Closure

Costs

Arkansas Invests in AWIS, Increases Use of Alternate Routes

Deployment

Implementing the Work Zone Safety and Mobility Rule

Lessons Learned

Findings from the Michigan Work Zone Variable Speed Limit System Test
ITS for Work Zone Management — Lessons from Experience




Americans lose 3.7 billion hours and 2.3 billion gallons of fuel every year sitting in traffic jams,1 and nearly 24 percent of non-recurring freeway delay, or about 482 million hours, is attributed to work zones.2 To combat the country's growing transportation congestion problem, the U.S. Department of Transportation launched the National Strategy to Reduce Congestion on America's Transportation Network. One element of this strategy is to promote operational and technological improvements to the transportation system through the use of congestion-reducing technologies such as Intelligent Transportation Systems (ITS).3




Work Zones

Using ITS in work zones can improve safety and lessen the delay that can come from reduced capacity and incidents. Well-planned work zones that use ITS technologies to manage traffic and mitigate the impacts of lane closures, detours, and other factors are commonly referred to as "Smart Work Zones." When work zones use ITS tools in conjunction with sound planning, traffic control, coordination, communication, and impacts estimation, work zone operations can be greatly enhanced and the management of traffic in the work zone area made more efficient. For example, a study of successful technology deployments determined that:

A 2004 Federal Highway Administration survey of ITS deployment found that, of the 43 States who responded, 20 States used ITS in work zones.9 Findings from this survey showed:




Dynamic Lane Merge Improves Capacity, Decreases Travel Time

Upon seeing signs informing them of a merge ahead, drivers will typically take one of two actions: they will merge early, moving from the discontinuous lane as soon as possible, typically creating a long, single-lane queue that moves at slow speeds, or they will merge late, waiting until the last opportunity to switch lanes, staying in the discontinuous lane and often forcing a merge at the point of closure.

Dynamic lane merge (DLM) is an ITS technology that can be used in work zones to alleviate the congestion and crashes this mix of reactions can cause. The technology uses electronics and communications equipment to monitor traffic flow and, as queuing increases at approaches to lane closures, regulates the merge, requiring either early merge or late merge depending on traffic conditions.

In the summer of 2003, the Michigan Department of Transportation (MDOT) deployed an early merge system.12 When traffic conditions exceeded preset limits on traffic volume, vehicle speed, and detector occupancy, the system activated and a "Do Not Pass" message was displayed. When MDOT and Wayne State University assessed the impacts of the DLM system, they found:

The cost to MDOT, which leased the system, was $120,000, including design, installation, calibration, and maintenance. The cost to redeploy the system at additional work zones, which includes furnishing the devices in operable condition, initial installation, operation, inspection, maintenance, cleaning, and removal at project completion, is about $30,000.17

The Minnesota Department of Transportation (MnDOT) initiated several projects to study the benefits of DLM using a late merge system. MnDOT found that:18

A minimum volume of 1,500 vehicles per hour was determined necessary to justify system activation.




ITS Eases the Pain of Road Closure

Sometimes, there's just no way around it: lanes have to be closed to perform maintenance or construction activities. But with ITS, normal congestion associated with lane closures in work zones can be reduced, resulting in fewer crashes and greater safety for motorists and road workers alike.

Illinois required the reconstruction of a 40-mile section of I-55 including the Lake Springfield bridge, which involved closing one bridge span and diverting traffic onto the other span.19 To minimize the impacts of congestion during the lane closure and rerouting operations, an automated portable real-time traffic control system was used to provide traveler information and traffic control. The system used remotely controlled portable dynamic message signs (DMS), portable traffic sensors electronically linked to a central base station server, and portable closed circuit TV cameras linked to the base station using wireless communications.20 The DMS displayed real-time information on delays and lane closures. In addition, the project website included a map with road segments color-coded according to the degree of congestion. The website also enabled users to view the current DMS messages and camera images. Real-time information on the number of citations issued to date was also posted upstream of the work zone. As a result:

California faced a similar problem when it embarked on a rapid rehabilitation project in 2004 to rebuild I-15 in Devore. First the northbound and then southbound lanes had to be closed and traffic rerouted to the opposite lanes through median crossovers at each end of the construction work zone.23 A quickchange moveable barrier system was used to switch the two-by-three lane configuration twice each day in an operation that took less than 30 minutes in live traffic.24

To limit disruptions, an automated work zone information system (AWIS) was used, enabling travelers to learn of traffic conditions before they entered the work zone and choose alternate routes based on guidance and travel time information posted on roadside DMS.

As a result of the AWIS deployment:

Field data indicated that the maximum average peak delay with AWIS was about 50 percent less than the expected maximum delay without AWIS.




Arkansas Invests in AWIS, Increases Use of Alternate Routes

Beginning in 2000, the Arkansas State Highway and Transportation Department (ASHTD) began an effort to rebuild 60 percent of Arkansas' total Interstate miles. Because the presence of work zones can increase congestion and incidents, ASHTD decided to deploy automated work zone information systems (AWIS). These systems provide real-time information to travelers, informing them about traffic and impacts such as lane closures or speed reductions in and around work zones.

One site equipped with AWIS was a 6.3-mile segment of I-40 located in rural Lonoke County. The AWIS deployed at this work zone site included a central system controller, two highway advisory radio (HAR) systems, five traffic radar sensors measuring vehicle speed, five dynamic message signs (DMS) and two supplemental speed stations. The contract, bid for 350 days at $750 per day plus $60,000 for the HAR systems, totaled $322,500.28

The engineer overseeing construction at the Lonoke County site expressed his belief that the system prevented rear-end crashes as long as traffic was not backed up past the message boards. He also believed that the system enhanced congestion management through its ability to allow messages to be manually input into the contractor's field office computer to assist in rerouting traffic.29

Another AWIS-equipped site was an 8.6-mile segment of I-40 located in urban North Little Rock. The AWIS deployed at this work zone site included a central system controller, a host computer in the engineer's office, two DMS, queue detection sensors, and five HAR systems. The winning contract was bid for 1,000 days at $390 per day plus $100,000 for the HAR systems, totaling $490,000.30

At the North Little Rock site, analysis showed a direct correlation between alternate route traffic and the messages reported on the DMS: overall traffic doubled on the alternate route when the DMS warned of backups or stopped traffic ahead, and truck traffic was nine times higher than usual on the alternate route during these times. In addition, the engineer overseeing construction at this site stated that he thought the system was effective in preventing rear-end collisions and enhancing congestion management.31




Findings from the Michigan Work Zone Variable Speed Limit System Test

Static speed limits in work zones may not reflect current conditions, which can lead to low speed limit compliance rates and high variance in vehicle speeds.32 There has been increasing interest in recent years in the use of variable speed limits (VSL) in work zones as a means of alleviating these problems.

A 2003 study of a Michigan work zone examined the impact of a prototype VSL system and evaluated the effectiveness of the system at improving speed limit compliance and the credibility of speed limits. It also assessed whether safety and traffic flow were improved. The Michigan Department of Transportation (MDOT) opted to lease equipment through a contract that included development, design, installation, calibration, and maintenance over a 6-month period for $400,900.33 MDOT wrote the specifications for temporary use of the VSL system so that it could implement the VSL without having to maintain or store the equipment after construction ended.

The VSL leased system included the use of seven trailers with remote traffic microwave sensor detectors, solar power, controllers with radio frequency communication, and light-emitting diode speed displays. The VSL trailers, placed at 1/2- to 1-mile intervals, had the capacity to vary the speed limit from 40 mph to 70 mph depending on the nature of the road work.34

Given that the VSL system deployed was a prototype unit, the Michigan study determined that it operated reasonably well, although it required constant attention from the contractor to remain operational.35 The study also found that the system needed more technical refinement, which would presumably occur in a second generation, to increase its effectiveness and decrease the necessary level of oversight.36

As a result of using VSL, both the speed limits displayed by the VSL trailers and operating speeds generally increased, average speed was generally below the displayed speed for VSL, and drivers maintained more consistent speeds during non-peak periods, especially at night.




Implementing the Work Zone Safety and Mobility Rule

The Work Zone Safety and Mobility Rule was published on September 9, 2004, in the Federal Register and updates and broadens the former regulation at 23 CFR 630 Subpart J to address more of the current issues affecting work zone safety and mobility. All State and local governments that receive Federal-aid funding are required to comply with the provisions of the Rule by October 12, 2007.37 The updated Rule has several goals, including:

To achieve these goals, the Rule addresses:

Effective work zone management requires a combination of strategies.38 For some projects, the TMP must contain operational strategies and public outreach in addition to a traffic control plan. ITS can be used as a tool to help meet these requirements, and it can be used as part of an overall strategy to reduce work zone impacts. The agency-level processes and procedures required by the Rule include the use of safety and mobility data to assess work zone performance and manage impacts. Work zone ITS are devices that can help provide the necessary data.

For general information and guidance, see www.ops.fhwa.dot.gov/wz/resources/final_rule.htm.




ITS for Work Zone Management – Lessons from Experience

Agencies experienced with using work zone ITS have learned lessons along the way that can help others deploy work zone ITS technologies effectively. The following are lessons learned on how ITS can help to plan, design, operate, and maintain work zones, and are taken from both evaluation research and the ITS Lessons Learned Knowledge Resource.

Design and Deployment

Technical Integration

For these and other lessons, visit: www.itslessons.its.dot.gov.

Photograph of a variable speed limit sign used in a Michigan work zone. Photo courtesy of Michigan State University.
Variable speed limit sign in a Michigan work zone.
Photo courtesy of Michigan State University.



Source Information

1. U.S. Department of Transportation, National Strategy to Reduce Congestion on America’s Transportation Network, Washington, DC: May 2006. Report: isddc.dot.gov/OLPFiles/OST/012988.pdf

2. Federal Highway Administration, Focus on Congestion Relief Webpage, “Congestion Reduction Toolbox: Better Work Zones,” www.fhwa.dot.gov/congestion/toolbox/work_zones.htm

3. U.S. Department of Transportation, National Strategy to Reduce Congestion on America’s Transportation Network, Washington, DC: May 2006. Report: isddc.dot.gov/OLPFiles/OST/012988.pdf

4. The summary fact "Between 50 percent and 85 percent of drivers surveyed said that they changed their route at least sometimes in response to travel time, delay, or alternate route messages provided by work zone ITS" is based on four articles:

Document Referenced Simulated v. Measured Data Location of Study Percent Indicating They Changed Route
Zwahlen, H., and A. Russ, Evaluation of the Motoring Public’s Acceptance of a Real-Time Travel Time Prediction System in a Freeway Construction Work Zone, presentation to the Transportation Research Board 81st Annual Meeting, January 2002. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/1ED443F7C9575DBC852572600066ECD5 Traveler survey I-75 near Dayton, Ohio 51.88% changed route " a few times," 19.69% changed route " quite often"
Bushman, R. and C. Berthelot, “Estimating the Benefits of Deploying Intelligent Transportation Systems in Work Zones,” presentation to the Transportation Research Board 83rd Annual Meeting, January 22-24, 2004. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/FC47E6A8BE1A031B852572600069B4FE Traveler survey I-95 in North Carolina 85% responded "at least once," 73% changed route "sometimes" or "often"
Chu, L., H. Kim, Y. Chung, and W. Recker, “Evaluation of Effectiveness of Automated Workzone Information Systems,” Transportation Research Record 1911, 2005. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/A70ADBCAC89456AE85257260006E4D77 Traveler survey Santa Clarita, California 78%
Minnesota Department of Transportation, Portable Traffic Management System Smart Work Zone Application: Operational Test Evaluation Report, St. Paul, MN: 1997. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/ACCC9254FAD906A885257260006FB216 Traveler survey I-94 near Minneapolis, Minnesota 51%

5. The summary fact "Reductions in queue lengths from 56 percent to 60 percent are possible" is based on two articles:

Document Referenced Simulated v. Measured Data Location of Study Percent Decrease in Queue Length
Bushman, R. and C. Berthelot, “Estimating the Benefits of Deploying Intelligent Transportation Systems in Work Zones,” presentation to the Transportation Research Board 83rd Annual Meeting, January 22-24, 2004. ITS Benefits Database Entry:
www.itsbenefits.its.dot.gov/its/benecost.nsf/0/2B34D5EAE0CEA2C08525726000739B3C
Simulated I-95 in
North Carolina
56%
Scriba, T., “Knowing Ahead of Time,” Transportation Management + Engineering, May 2005. ITS Benefits Database Entry:
www.itsbenefits.its.dot.gov/its/benecost.nsf/0/21AADDD19A082069852572600073D030
Measured I-95 in
North Carolina
60%

6. The summary fact "with simulations indicating system-wide reductions in total delay may range from 41 percent to 75 percent" is based on two articles:

Document Referenced Simulated v. Measured Data Location of Study Percent Decrease in Delay
Bushman, R. and C. Berthelot, “Estimating the Benefits of Deploying Intelligent Transportation Systems in Work Zones,” presentation to the Transportation Research Board 83rd Annual Meeting, January 22-24, 2004. ITS Benefits Database Entry:
www.itsbenefits.its.dot.gov/its/benecost.nsf/0/2B34D5EAE0CEA2C08525726000739B3C
Simulated I-95 in North Carolina 55%-75%
Chu, L., H. Kim, H. Liu, and W. Recker, “Evaluation of Traffic Delay Reduction from Automatic Workzone Information Systems Using Micro-Simulation,” presentation to the Transportation Research Board 84th Annual Meeting, January 2005. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/F090809C3D57058A85257260007450BC Simulated Santa Clarita, California 41%

7. The summary fact “Speed monitoring displays (SMD) reduce speeds in work zones by 4-6 mph” is based on four articles:

Document Referenced Simulated v. Measured Data Location of Study Decrease in Average Speed
McCoy, P.J., J. Bonneson, and J. Kollbaum, “Speed Reduction Effects of Speed Monitoring Displays with Radar in Work Zones on Interstate Highways,” Transportation Research Record 1509, 1995. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/8F2306948210535B8525726000748E72 Unknown Unknown 4-5 mph
Garber, N. and S. Patel, Effectiveness of Changeable Message Signs with Radar in Controlling Vehicle Speeds in Work Zones, Virginia Transportation Research Council Report No. VTRC-95-R4, Charlottesville, VA: 1994. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/E03F81943EA3961C852572600075418A Measured Six interstate work zones in Virginia 4 mph
Garber, N. and S. Srinivasan, Effectiveness of Changeable Message Signs with Radar in Controlling Vehicle Speeds in Work Zones, Virginia Transportation Research Council
Report No. VTRC-98-R10, Charlottesville, VA: 1998. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/A820F8AA8A2EB378852572600074CEAE
Measured I-81 and State Rte. 19 in Virginia 6 mph
Fontaine, M.D., P. Carlson, and G. Hawkins, Use of Innovative Traffic Control Devices to Improve Safety at Short-Term Rural Work Zones, Texas Transportation Institute Report No. 1879-S, College Station, TX: 2000. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/F61943DF4661F59E85257260007508B4 Measured Rural work zone in Texas 5 mph

8. McCoy, P.J., J. Bonneson, and J. Kollbaum, “Speed Reduction Effects of Speed Monitoring Displays with Radar in Work Zones on Interstate Highways,” Transportation Research Record 1509, 1995. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/8F2306948210535B8525726000748E72

9. Federal Highway Administration, “Technologies Deployed at Work Zones: 2004 National Summary,” ITS Deployment Statistics Database Entry: www.itsdeployment.its.dot.gov/ResultsStateNational.asp?ID=1086

10. Federal Highway Administration, “Technologies Used at Work Zones to Communicate with Vehicles: 2004 National Summary,” ITS Deployment Statistics Database Entry: www.itsdeployment.its.dot.gov/ResultsStateNational.asp?ID=1088

11. Federal Highway Administration, “Reasons for Deploying ITS Technologies at Work Zones: 2004 National Summary,” ITS Deployment Statistics Database Entry: www.itsdeployment.its.dot.gov/ResultsStateNational.asp?ID=1087

12. Federal Highway Administration, ITS in Work Zones: A Case Study – Reducing Aggressive Driving and Optimizing Throughput at Work Zone Merges in Michigan, Washington, DC: October 2004. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/26DA38163F4820A585257260005234F9
Report: www.ops.fhwa.dot.gov/wz/technologies/michigan/index.htm

13. Ibid.

14. Ibid.

15. Ibid.

16. Frankel, Emil H., Revised Departmental Guidance: Valuation of Travel Time in Economic Analysis, February 11, 2003. Document: ostpxweb.dot.gov/policy/Data/VOTrevision1_2-11-03.pdf

17. Correspondence with Jeff Grossklaus, Construction Staff Engineer, Michigan Department of Transportation, November 2006. ITS Costs Database Entry: www.itscosts.its.dot.gov/its/benecost.nsf/0/ DDE520872475EFCC8525725D0068879B

18. Minnesota Department of Transportation, Evaluation of 2004 Dynamic Late Merge System, St. Paul, MN: December 2004. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/B706D19649FE2EDC852572600059EBF0
Report: www.dot.state.mn.us/trafficeng/workzone/2004DLMS-Evaluation.pdf

19. Federal Highway Administration, Intelligent Transportation Systems in Work Zones: A Case Study – Real-Time Work Zone Traffic Control System Using an Automated Traffic Information System to Reduce Congestion and Improve Safety During Reconstruction of the I-55 Lake Springfield Bridge in Illinois, Washington, DC: October 2004. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/F8D7396B1467FC7185257260006120B1
Report: www.ops.fhwa.dot.gov/wz/technologies/springfield/index.htm

20. Ibid.

21. Ibid.

22. Ibid.

23. Lee, E., and Changmo, K., “Automated Work Zone Information System (AWIS) on Urban Freeway Rehabilitation: California Implementation,” presentation to the 85th Annual Meeting of the Transportation Research Board, Washington, DC, January 2006. ITS Benefits Database Entry:
www.itsbenefits.its.dot.gov/its/benecost.nsf/0/F1F2919AE17E081285257172005C8569

24. Ibid.

25. Ibid.

26. Ibid.

27. Ibid.

28. Tudor, L., et al., “Deployment of Smart Work Zone Technology in Arkansas,” presentation to the Transportation Research Board Annual Meeting, January 13, 2003, p. 4. ITS Costs Database Entry: www.itscosts.its.dot.gov/its/benecost.nsf/0/8CA0144FB5B6EDC085256E4A004ABE9B and ITS Benefits
Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/27669979CF95470685256E3F0056DC8A

29. Ibid., p 6.

30. Ibid.

31. Ibid., p. 7.

32. Michigan Department of Transportation and Michigan State University, Field Test of Variable Speed Limits in Work Zones (In Michigan), Final Report, Lansing, MI: September 2003. Report: tig.transportation.org/sites/aashtotig/docs/VSL%20Entire%20Final%20Report.pdf

33. Correspondence with Mr. Jeff Grossklaus, PE, Construction Staff Engineer, Construction and Technology Division, Michigan Department of Transportation, December 2002. ITS Costs Database Entry: www.itscosts.its.dot.gov/its/benecost.nsf/0/A66BC990F83CDAE885256E000049F9DD

34. Michigan Department of Transportation and Michigan State University, Field Test of Variable Speed Limits in Work Zones (In Michigan), Final Report, Lansing: MI, September 2003. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/F3678455A0AF32778525726000648619
Report: tig.transportation.org/sites/aashtotig/docs/VSL%20Entire%20Final%20Report.pdf

35. Ibid., p. 18.

36. Ibid., pp. 39-40.

37. Scriba, Tracy, “The Final Rule on Work Zone Safety and Mobility,” presentation to the National Transportation Operations Coalition “NTOC Talks” Webcast, Reducing Congestion – Good Work Zone Strategies that Can Help, February 17, 2005. Presentation: www.ntoctalks.com/webcast_archive/to_feb_17_05/to_feb_17_05ts.ppt

38. For general information and guidance, see www.ops.fhwa.dot.gov/wz/resources/final_rule.htm

39. Correspondence with Tyson King, ITS Traffic Engineering Specialist, Missouri Department of Transportation, December 2006.

40. Federal Highway Administration, Intelligent Transportation Systems in Work Zones: A Case Study – Work Zone Traffic and Incident Management System, Keeping Traffic Moving During Reconstruction of the Big I, a Major Interstate-Interstate Interchange in Albuquerque, Washington, DC: January 2004. ITS Lessons Learned Knowledge Resource Entry: www.itslessons.its.dot.gov/its/benecost.nsf/Lesson?OpenForm&F32B8CDEC73AD6C18525707E0061C5B6
(Lesson learned point of contact: Allan DeBlasio, U.S. DOT / RITA / John A. Volpe National Transportation Systems Center, 617-494-2032, allan.j.deblasio@volpe.dot.gov). Report: ntl.bts.gov/lib/jpodocs/redirect/repts_te/13941.html

41. Federal Highway Administration, Intelligent Transportation Systems in Work Zones: A Case Study – Using an Automated Traffic Information System to Reduce Congestion and Improve Safety During Reconstruction of the I-55 Lake Springfield Bridge in Illinois, Washington, DC: October 2004, p. 4-3. ITS Lessons Learned Knowledge Resource Entry: www.itslessons.its.dot.gov/its/benecost.nsf/Lesson?OpenForm&A286EB6A08D7ECEB8525725F006CD882 (Lesson learned point of contact: William Frey, 217-782-7401, FreyWR@dot.il.gov). Report: ntl.bts.gov/lib/jpodocs/redirect/repts_te/13984.htm

42. Federal Highway Administration, "I-30 Little Rock to Benton," Arkansas, draft chapter in a forthcoming report, expected publication fall 2007. ITS Lessons Learned Knowledge Resource Entry: www.itslessons.its.dot.gov/its/benecost.nsf/Lesson?OpenForm&871D8AECEDE03CEB8525726000594533
(Lesson learned point of contact: Cheryl Lowrance, Mitretek Systems, 202-863-2986, cheryl.lowrance@mitretek.org).

43. McCoy, P.T., G. Pesti, “Smart Work Zone Technology Evaluations: Speed Monitoring Displays and Condition-Responsive, Real-Time Travel Information Systems,” paper presented at the Institute of Transportation Engineers 2001 Annual Meeting and Exhibit, Chicago, IL, August 19-22, 2001.

44. McCoy, P.J., J. Bonneson, and J. Kollbaum, “Speed Reduction Effects of Speed Monitoring Displays with Radar in Work Zones on Interstate Highways,” Transportation Research Record 1509, 1995. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/8F2306948210535B8525726000748E72

45. Garber, N. and S. Patel, Effectiveness of Changeable Message Signs with Radar in Controlling Vehicle Speeds in Work Zones, Virginia Transportation Research Council Report No. VTRC-95-R4, Charlottesville, VA: 1994. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/E03F81943EA3961C852572600075418A

46. Garber, N. and S. Srinivasan, Effectiveness of Changeable Message Signs with Radar in Controlling Vehicle Speeds in Work Zones, Virginia Transportation Research Council Report No. VTRC-98-R10, Charlottesville, VA: 1998. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/A820F8AA8A2EB378852572600074CEAE

47. Fontaine, M.D., P. Carlson, and G. Hawkins, Use of Innovative Traffic Control Devices to Improve Safety at Short-Term Rural Work Zones, Texas Transportation Institute Report No. 1879-S, College Station, TX: 2000. ITS Benefits Database Entry: www.itsbenefits.its.dot.gov/its/benecost.nsf/0/F61943DF4661F59E85257260007508B4

48. Minnesota Department of Transportation, Dynamic Late Merge System Evaluation, St. Paul, MN: October 2003. ITS Lessons Learned Knowledge Resource Entry: www.itslessons.its.dot.gov/its/benecost.nsf/Lesson?OpenForm&00364CE62DB27A798525707E0061C501 (Lesson learned point of contact: Firoz Kabir, Mitretek Systems, 202-863-2987, firoz.kabir@mitretek.org). Report: www.dot.state.mn.us/trafficeng/research/data/DynLateMerge.pdf

49. Federal Highway Administration, Intelligent Transportation Systems in Work Zones: A Cross Cutting Study – Integrated Work Zone Systems for Improving Travel Conditions and Safety, Washington, DC: November 2002. ITS Lessons Learned Knowledge Resource Entry:
www.itslessons.its.dot.gov/its/benecost.nsf/Lesson?OpenForm&481DB03ED43C6292852571A4004D72C9
(Lesson point of contact: Allan DeBlasio, U.S. DOT / RITA / John A. Volpe National Transportation Systems Center, 617-494-2032, allan.j.deblasio@volpe.dot.gov). Report: ntl.bts.gov/lib/jpodocs/redirect/repts_te/13600.html