Technical Papers
Apr 3, 2014

Using a Living Laboratory to Support Transportation Research for a Freeway Work Zone

Publication: Journal of Transportation Engineering
Volume 140, Issue 7

Abstract

This paper presents the concept of a living laboratory (LL) and how it is applied to transportation operations research through a case study. This case study focuses on calibrating the Wiedemann car-following model parameters specific to freeway work zones. Applying the concept of an LL enables the experimental platform to be in a natural real-world environment. The design of this LL included the development of an instrumented research vehicle (IRV) to capture the natural car-following response of a driver when entering and passing through a freeway work zone. The development of a connected mobile traffic sensing (CMTS) system, which included state-of-the-art intelligent transportation systems (ITS) technologies, supports the LL environment by providing the connectivity, interoperability, and data processing of the natural, real-life setting. The IRV and CMTS system are tools designed based on the research objective to support the concept of an LL which facilitates the experimental environment to capture and calibrate natural driver behavior. This case study shows the application of an LL specific to operations research providing an experimental platform for evaluating the operational performance of a roadway in a real-time, connected, and collaborative natural environment.

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References

Ballon, P., Pierson, J., and Delaere, S. (2005). “Open innovation platforms for broadband services: Benchmarking European practices.” Proc., 16th European Regional Conf., International Telecommunications Society (ITS), Porto, Portugal.
Benekohal, R. F., Kaja-Mohideen, A.-Z., and Chitturi, M. V. (2003). “Evaluation of construction work zones operational issues: Capacity, queue, and delay.”, Illinois Transportation Research Center, Illinois Dept. of Transportation, Champaign, IL.
Bergvall-Kåreborn, B., and Ståhlbröst, A. (2011). “Living lab: An open and user-centric design approach.” Information and communication technologies, society and human beings: Theory and framework (Festschrift in honor of Gunilla Bradley), D. Haftor and A. Mirijamdotter, eds., Information Science Reference, Hershey, PA, 190–208.
Boyce, T., and Geller, S. (2002). “An instrumented vehicle assessment of problem behavior and driving style: Do younger males really take more risks?” Accid. Anal. Prev., 34(1), 51–64.
Core Labs. (2007). Living labs roadmap 2007–2010: Recommendations on networked systems for open user-driven research, development and innovation, Centre of Distance Spanning Technology, Luleå Univ. of Technology, Luleå, Sweden.
Eriksson, M., Niitamo, V. P., and Kulkki, S. (2005). State-of-the-art in utilizing living labs approach to user-centric ICT innovation—A European approach, Centre of Distance Spanning Technology, Luleå Univ. of Technology, Luleå, Sweden.
Ghazavi, P., Zavabeti, A., and Sarvi, M. (2009). “Development of new driver behavior model: Part 1 development of a platform to study car-following behavior using real time data.” Transportation Research Board 88th Annual Meeting, Washington, DC.
Gomes, G., May, A., and Horowitz, R. (2004). “Congested freeway microsimulation model using VISSIM.” Transportation Research Record 1876, Transportation Research Board, Washington, DC, 71–81.
Jiang, Y. (2007). “Traffic capacity, speed, and queue-discharge rate of Indiana’s four-lane freeway work zones.” Transportation Research Record 1657, Transportation Research Board, Washington, DC, 10–17.
Kim, T., Lovell, D. J., and Paracha, J. (2000). “A new methodology to estimate capacity.” Transportation Research Board 80th Annual Meeting, Washington, DC.
Lehtonen, E., Lappi, O., and Summala, H. (2012). “Anticipatory eye movements when approaching a curve on a rural road depend on working memory load.” Transp. Res. Part F: Traffic Psychol. Behav., 15(3), 369–377.
Lochrane, T., Al-Deek, H., Scriba, T., and Paracha, J. (2013). “Understanding driver behavior in work zones.” Public Roads, 76(5), 22–25.
Lownes, N., and Machemehl, R. (2006). “Sensitivity of simulated capacity to modification of VISSIM driving behavior parameters.” Proc., 85th Transportation Research Board Annual Meeting, Washington, DC.
Ma, X., and Andreasson, I. (2006). “Estimation of driver reaction time from car-following data: Application of the evaluation of genera motor-type mode.” Transportation Research Record 1965, Transportation Research Board, Washington, DC, 130–141.
Markopoulos, P., and Rauterberg, G. W. M. (2000). “LivingLab: A white paper.” IPO Annual Progress Rep. 35, 53–65.
Menneni, S., Sun, C., and Vortisch, P. (2009). “Integrated microscopic and macroscopic calibration for psychophysical car following models.” Transportation Research Board 88th Annual Meeting, Washington, DC, 17.
Nowakowski, C., Shladover, S., Cody, D., and Bu, F. (2010). “Cooperative adaptive cruise control: Testing drivers’ choices of following distances.”, California PATH Program, Richmond, CA.
Pesti, G., Jessen, D. R., Byrd, P. S., and McCoy, P. T. (2007). “Traffic flow characteristics of the late merge work zone control strategy.” Proc., 78th Transportation Research Board Annual Meeting, Washington, DC.
Sarasua, W. A., Davis, W. J., Clarke, D. B., Kottapally, J., and Mulukutla, P. (2004). “Evaluation of interstate highway capacity for short-term work zone lane closures.” Transportation Research Record 1877, Transportation Research Board, Washington, DC, 85–94.
SmartMicro. (2012a). “UMRR automotive sensor data sheet type 29.” 〈http://www.smartmicro.de/images/stories/contentimage/automotive/UMRR%20Automotive%20Type%2029%20Data%20Sheet.pdf〉 (Mar. 17, 2014).
SmartMicro. (2012b). “UMRR automotive sensor data sheet type 30.” 〈http://www.smartmicro.de/images/stories/contentimage/automotive/UMRR%20Automotive%20Type%2030%20Data%20Sheet.pdf〉 (Mar. 17, 2014).
United States Coast Guard. (1996). NAVSTAR GPS user equipment introduction, Washington, DC.
Valero-Mora, P., Tontsch, A., Pareja-Montoro, I., and Sánchez-García, M. (2010). “Using a highly instrumented car for naturalistic driving research: A small-scale study in Spain.” Prologue Deliverable D.3.5, INTRAS/Univ. of Valencia, Valencia, Spain.
Wiedemann, R., and Reiter, U. (1992). “Microscopic traffic simulation.” The simulation system mission, Univ. Karlsruhe, Karlsruhe, Germany.

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Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 140Issue 7July 2014

History

Received: Jul 18, 2013
Accepted: Feb 10, 2014
Published online: Apr 3, 2014
Published in print: Jul 1, 2014
Discussion open until: Sep 3, 2014

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Authors

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Taylor W. P. Lochrane, A.M.ASCE [email protected]
Ph.D. Candidate, U.S. Dept. of Transportation Turner-Fairbank Highway Research Center, Univ. of Central Florida and Research Civil Engineer at Federal Highway Administration, 6300 Georgetown Pike, McLean, VA 22101. E-mail: [email protected]
Haitham Al-Deek, Ph.D. [email protected]
P.E.
Professor of Engineering, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, 12800 Pegasus Dr., Suite 211, P.O. Box 162450, Orlando, FL 32816-2450 (corresponding author). E-mail: [email protected]
Daniel J. Dailey, Ph.D. [email protected]
Professor of Electrical Engineering, Dept. of Electrical Engineering, Univ. of Washington, 1410 NE Campus Parkway, Seattle, WA 98195. E-mail: [email protected]
Joe Bared, Ph.D. [email protected]
P.E.
Team Leader, Transportation Concepts and Analysis, Federal Highway Administration, U.S. Dept. of Transportation Turner-Fairbank Highway Research Center, 6300 Georgetown Pike, McLean, VA 22101. E-mail: [email protected]

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