IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt2wp2p0m6.html
   My bibliography  Save this paper

Travel Times on Changeable Message Signs: Pilot Project

Author

Listed:
  • Chen, Chao

Abstract

We describe a system to display real time travel times on Changeable Message Signs (CMS) in California. CMS's show dynamic information and allow the Traffic Management Center (TMC) to communicate to drivers information about traffic diversion, incidents, and delays. This type of service is deployed in other parts of the country and world and has been shown to be useful. For this project, we implemented a system that uses existing algorithms for travel time estimation and prediction.

Suggested Citation

  • Chen, Chao, 2004. "Travel Times on Changeable Message Signs: Pilot Project," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2wp2p0m6, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt2wp2p0m6
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/2wp2p0m6.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Coifman, Benjamin, 2002. "Estimating travel times and vehicle trajectories on freeways using dual loop detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(4), pages 351-364, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dimitris Bertsimas & Arthur Delarue & Patrick Jaillet & Sébastien Martin, 2019. "Travel Time Estimation in the Age of Big Data," Operations Research, INFORMS, vol. 67(2), pages 498-515, March.
    2. Treiber, Martin & Kesting, Arne & Helbing, Dirk, 2010. "Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 983-1000, September.
    3. Kai Liu & Meng-Ying Cui & Peng Cao & Jiang-Bo Wang, 2016. "Iterative Bayesian Estimation of Travel Times on Urban Arterials: Fusing Loop Detector and Probe Vehicle Data," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-12, June.
    4. Hu, Yujie & Wang, Changzhen & Li, Ruiyang & Wang, Fahui, 2020. "Estimating a large drive time matrix between ZIP codes in the United States: A differential sampling approach," Journal of Transport Geography, Elsevier, vol. 86(C).
    5. Sun, Zhe & Jin, Wen-Long & Ritchie, Stephen G., 2017. "Simultaneous estimation of states and parameters in Newell’s simplified kinematic wave model with Eulerian and Lagrangian traffic data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 106-122.
    6. Celikoglu, Hilmi Berk, 2013. "Reconstructing freeway travel times with a simplified network flow model alternating the adopted fundamental diagram," European Journal of Operational Research, Elsevier, vol. 228(2), pages 457-466.
    7. Coifman, Benjamin & Varaiya, Pravin, 2002. "Deployment and Evaluation of Real-Time Vehicle Reidentification from an Operations Perspective," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6tp5w2gt, Institute of Transportation Studies, UC Berkeley.
    8. Coifman, Benjamin, 2003. "Estimating density and lane inflow on a freeway segment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 689-701, October.
    9. Wörz, Sascha & Bernhardt, Heinz, 2017. "A novel method for optimal fuel consumption estimation and planning for transportation systems," Energy, Elsevier, vol. 120(C), pages 565-572.
    10. Deng, Wen & Lei, Hao & Zhou, Xuesong, 2013. "Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 132-157.
    11. Coifman, Benjamin & Cassidy, Michael, 2002. "Vehicle reidentification and travel time measurement on congested freeways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 899-917, December.
    12. Jeffrey P. Kharoufeh & Natarajan Gautam, 2004. "Deriving Link Travel-Time Distributions via Stochastic Speed Processes," Transportation Science, INFORMS, vol. 38(1), pages 97-106, February.
    13. Coifman, Benjamin, 2006. "Extracting More Information from the Existing Freeway Traffic Monitoring Infrastructure," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt34n479gz, Institute of Transportation Studies, UC Berkeley.
    14. Fahad Alrukaibi & Rushdi Alsaleh & Tarek Sayed, 2019. "Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    15. Nantes, Alfredo & Ngoduy, Dong & Miska, Marc & Chung, Edward, 2015. "Probabilistic travel time progression and its application to automatic vehicle identification data," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 131-145.
    16. Sengupta, Raja & Misener, Jim & Ahern, Katherine & Chan, Ching-Yao & Gupta, Somak Datta & Jariyasunant, Jerry & Li, Jing-Quan & Long, Christopher & Mai, Eric & Manasseh, Christian & Nowakowski, Christ, 2010. "Safetrip-21: Connected Traveler," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt195910n5, Institute of Transportation Studies, UC Berkeley.
    17. Coifman, Benjamin, 2015. "Empirical flow-density and speed-spacing relationships: Evidence of vehicle length dependency," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 54-65.
    18. Shang, Wen-Long & Zhang, Mengxiao & Wu, Guoyuan & Yang, Lan & Fang, Shan & Ochieng, Washington, 2023. "Estimation of traffic energy consumption based on macro-micro modelling with sparse data from Connected and Automated Vehicles," Applied Energy, Elsevier, vol. 351(C).
    19. Sogutlugil, Mihriban, 2005. "Examining the Effects of Variability in Average Link Speeds on Estimated Mobile Source Emissions and Air Quality," University of California Transportation Center, Working Papers qt9j08v6rr, University of California Transportation Center.
    20. May, Dolf & Cayford, Randall & Leiman, Lannon & Merritt, Greg, 2005. "Berkeley Highway Laboratory Project: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7vf77641, Institute of Transportation Studies, UC Berkeley.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt2wp2p0m6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.