Advertisement

The Main Challenges of Winter Road Service to be Solved Within the Framework of Intelligent Transportation System

  • Boriss JelisejevsEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 36)

Abstract

Winter road maintenance as a set of routine network operations has a huge influence on mobility in snowy regions, providing certain safety level for road users and even possibility of several sections in critical weather conditions. There are still a lot of challenges to optimise the performance of winter road works, as well as to set more appropriate levels of service, defining and controlling the balanced scope of key performance indicators (KPI). Intelligent transportation system (ITS), as a distinctively innovative, but at the same time already quite mature sector, might bring a complex cost effective solutions to the field. Some of them could be distinctively opportunistic, thus to be introduced and operated in low-cost manner, based on reuse of the existing data (integration) and extensive feedback from road users. Traffic information, road weather information system (RWIS), management decision support systems (MDSS) for winter road operations and sectoral subprocesses are in the scope of the proceeding. Although this topic has a global meaning, the discussion is oriented on the actual needs of Latvian road industry with scope of national road network.

Keywords

Intelligent transportation systems (ITS) Traffic information Road winter service 

References

  1. 1.
    SJSC Latvian State roads: The annual report of national road network. LSR, Riga (2016)Google Scholar
  2. 2.
    Jelisejevs, B., Brivulis, I.: Further development of RWIS and it’s new potential marketplaces in Latvia. In: Proceedings of 16th SIRWEC international road weather conference, Helsinki, pp. 1–7. e-edition (2012)Google Scholar
  3. 3.
    Jeļisejevs, B.: ITS tools for winter road maintenance in Latvia. In: Scientific Proceedings of RTU, vol. 11(2), Riga, pp. 83–87 (2010)Google Scholar
  4. 4.
    Kjellstrom, E., et al.: Production and use of regional climate model projections – A Swedish perspective on building climate services. Clim. serv. 189–198 (2016)Google Scholar
  5. 5.
    Yatskiv, I., et al.: Review of intelligent transport solutions in Latvia. Transp. Res. Procedia. 24, 33–40 (2016)CrossRefGoogle Scholar
  6. 6.
    European commission: ITS action plan. EC, Bruxelles (2008)Google Scholar
  7. 7.
    Guevara, G., Jelisejevs, B., et al.: Advanced technology for data collection and information to users and operators. Paris, PIARC report, pp. 1–45 (2016)Google Scholar
  8. 8.
    Jelisejevs, B.: Implementation of SMART E67 project. In: Proceedings of 29th International Baltic road conference, Tallinn, pp. 1–8. e-edition (2017)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Institute of Transportation StructuresRiga Technical UniversityRigaLatvia

Personalised recommendations