Skip to main content

Non-recurrent Congestion: Incident Information to Motorists

  • Chapter
Intelligent Transportation Systems
  • 1660 Accesses

Abstract

Chapter 4 discussed delay reduction resulting from reduction in the response time to incidents. This chapter describes the other significant ITS approach to mitigating non-recurrent congestion, namely providing motorists with information. Since messaging policies and diversion effects for recurrent and non-recurrent congestion may be different, these subjects are covered in two different chapters.

Motorist information can mitigate non-recurrent congestion in the following ways:

  • Induce a motorist traveling on the freeway to divert in the event of an incident. Circumstances that induce diversion include:

    • Capacity reducing incidents on the freeway on which the motorist is traveling or on freeways that are accessed by the freeway on which the motorist is traveling.

    • Capacity reducing incidents and construction for special events on remote facilities. Avoiding the incident on the remote facility may require the motorist to modify his route on the facility that he is currently using.

  • Prior to the start of a trip or early in the trip, induce a motorist to change his travel mode or the start time of his trip.

  • Make the motorist aware of unusual conditions such as incidents, lane blockages and lane closures. Accidents are reduced by facilitating the motorists’ earlier preparation for these events.

Section 3.1.4 discusses the general issues relating to diversion resulting from non-recurrent congestion and shows several diversion curves. It also discusses policy issues related to motorist information for non-recurrent congestion. The following topics are covered this chapter in connection with diversion to avoid incidents:

  • The techniques for communicating with motorists.

  • Strategies and policies or developing messages and the use of the content and the strength of the message to influence the percentage of motorists diverting.

  • Semi-automatic and manually implemented strategies for controlling diversion.

  • The effect of diverted traffic on alternate routes.

  • Models for delay reduction resulting from diversion for the diverted traffic, non-diverted traffic remaining on the freeway and corridor traffic.

  • The effect of diverted traffic on alternate routes and the necessity for controlling the impact.

The chapter provides guidance and some simple models to assist the engineer in locating dynamic message signs. The importance of the quality of motorist information is discussed, and a simple evaluation measure is provided. The use of ITS for emergency evacuation is introduced and a model for generating and disseminating information is discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Connected Vehicle Applications, Research and Innovative Technology Administration, U.S. Department of Transportation. http://www.its.dot.gov/connected_vehicle/connected_vehicle_apps.htm Online 14 Sept 2014

  2. Dudek CL (2004) Changeable message sign operation and messaging handbook. Federal Highway Administration Report No. FHWA-OP-03-070, Federal Highway Administration, Washington, DC

    Google Scholar 

  3. Travel Time Messages on Dynamic Message Signs, Federal Highway Administration. http://ops.fhwa.dot.gov/travelinfo/dms/signs.htm Online 14 Sept 2014

  4. DTA System Enhancement and Evaluation of Traffic Management Center, Task P: Framework for the Use of DynaMIT-P (2000) Massachusetts Institute of Technology

    Google Scholar 

  5. Peeta S et al (2000) Content of variable message signs and on-line driver behavior. In: 79th annual meeting of the Transportation Research Board, Washington, DC

    Google Scholar 

  6. Mansoureh J, Ardshirri A (2013) Exploring travelers’ behavior in response to dynamic message signs (DMS) using a driving simulator. Report No. MD-13-SP209B4K, Morgan State University, Oct 2013

    Google Scholar 

  7. Foo S et al (2008) Impacts of changed CMS messages on traffic diversion rates. In: 87th annual meeting of the Transportation Research Board, Washington, DC

    Google Scholar 

  8. Kachroo P, Ozbay K (1999) Feedback control theory for dynamic traffic assignment. Springer, London

    Google Scholar 

  9. Abbas MM, McCoy PT (1999) Optimizing variable message sign locations on freeways using genetic algorithm. In: 78th annual meeting of Transportation Research Board, 10–14 Jan 1999, Washington, DC

    Google Scholar 

  10. 2009 report on customer satisfaction. Delaware Department of Transportation

    Google Scholar 

  11. Intelligent transportation systems for traveler information—deployment benefits and lessons learned. U.S. Department of Transportation. http://www.its.dot.gov/jpodocs/repts_te/14319.htm. Accessed 27 May 2008

  12. Americas travel information number—implementation and operational guidelines for 511 services, version 3.0 (2005) 511 Deployment Coalition, Washington, DC

    Google Scholar 

  13. Neudorff LG et al (2003) Freeway management and operations handbook. Federal Highway Administration Report FHWA-OP-04-003, Federal Highway Administration, Washington, DC

    Google Scholar 

  14. Pal A et al (2005) Enhancements to emergency evacuation procedures. UTCA Final Report 01105, University of Alabama, Tuscaloosa, Alabama, Aug 2005

    Google Scholar 

  15. Oak Ridge evaluation modeling system (OREMS), Center for Transportation Analysis, Oak Ridge National Laboratory. http://cta.ornl.gov/cta/One_Pagers/OREMS.pdf. Accessed 27 May 2008

  16. Communicating with the public using ATIS during disasters—concept of operations (2006) Batelle and PBSJ, Columbus, OH

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Gordon, R. (2016). Non-recurrent Congestion: Incident Information to Motorists. In: Intelligent Transportation Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-14768-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14768-0_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14767-3

  • Online ISBN: 978-3-319-14768-0

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics