Advertisement

Advanced Applications for Urban Motorway Traffic Control

  • Martin GregurićEmail author
  • Sadko Mandžuka
  • Krešimir Vidović
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 76)

Abstract

Nowadays urban motorways cannot fulfill their originally projected purpose as urban bypass due to congestions. Congestions are caused by recurrent traffic from the urban area, which tries to bypass controlled traffic intersection in the same urban area, and non-recurrent transit traffic. The problem cannot be solved by constructional build-up since they became surrounded by the urban and traffic infrastructure. This requires new approaches to make the traffic flows on them more efficient and safer. Modern information-communication technologies and advanced traffic control algorithms are introduced as an only valid approach for mentioned problems. This study proposes the latest approach of coordination between controlling on-ramp flows with ramp metering (RM) and Dynamic Route Guidance Information Systems (DRGIS), which reroute vehicles from congested parts of the motorway. In the next decades, road transport will undergo a deep transformation with the advent of autonomous vehicles, which are about to drastically change the way we commute. This paper also provides a quick overview of the Intelligent Speed Adaptation (ISA) implementation in the context of autonomous vehicles and connected driving.

Keywords

Traffic control Ramp metering Route guidance Autonomous vehicles 

Notes

Acknowledgment

The research presented in this paper is supported with University of Zagreb Program funds Support for scientific and artistic research (2018) through the project: “Impact of the application of cooperative systems and autonomous vehicles on traffic and society”.

References

  1. 1.
    Mandžuka, S., Žura, M., Horvat, B., Bićanić, D., Mitsakis, E.: Directives of the European Union on Intelligent Transport Systems and their impact on the Republic of Croatia. Promet-Traffic Transp. 25(3), 273–283 (2013)CrossRefGoogle Scholar
  2. 2.
    Gregurić, M., Ivanjko, E., Mandžuka, S.: The use of cooperative approach in ramp metering. Promet-Traffic Transp. 28(1), 11–22 (2016)CrossRefGoogle Scholar
  3. 3.
    Mandžuka, S., Horvat, B., Škorput, P.: Development of ITS in Republic of Croatia. In: Proceedings of 19th ITS World Congress, ERTICO, Wien (2012)Google Scholar
  4. 4.
    Gregurić, M., Ivanjko, E., Mandžuka, S.: Cooperative ramp metering simulation. In: 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, pp. 970–975 (2014)Google Scholar
  5. 5.
    Karimi, A., Hegyi, A., De Schutter, B., Hellendoorn, H., Middelham, F.: Integration of dynamic route guidance and freeway ramp metering using model predictive control. In: Proceedings of the 2004 American Control Conference, Boston, Massachusetts, pp. 5533–5538, June–July 2004Google Scholar
  6. 6.
    Pasquale, C., Sacone, S., Siri, S., De Schutter, B.: A multi-class ramp metering and routing control scheme to reduce congestion and traffic emissions in freeway networks. In: Proceedings of the 14th IFAC (CTS 2016), Istanbul, Turkey, pp. 329–334, May 2016CrossRefGoogle Scholar
  7. 7.
    Mandzuka, S., Kljaić, Z., Skorput, P.: The use of mobile communication in traffic incident management process. J. Green Eng. 1(4), 35–42 (2011)Google Scholar
  8. 8.
    Vidović, K., Mandžuka, S., Brčić, D.: Estimation of urban mobility using public mobile network. In: ELMAR, 2017 International Symposium, pp. 21–24. IEEE (2017)Google Scholar
  9. 9.
    Škorput, P., Mandžuka, S., Jelušić, N.: Real-time detection of road traffic incidents. PROMET-Traffic Transp. 22(4), 273–283 (2010)CrossRefGoogle Scholar
  10. 10.
    Talebpour, A., Mahmassani, H.: Influence of connected and autonomous vehicles on traffic flow stability and throughput. Transp. Res. Part C Emerg. Technol. 71, 143–163 (2016)CrossRefGoogle Scholar
  11. 11.
    Makridis, M., Konstantinos, M., Ciuffo, B., Raposoa, M.A., Toledob, T., Thiela, C.: Connected and automated vehicles on a freeway scenario. In: Effect on Traffic Congestion and Network Capacity, Proceedings of 7th Transport Research Arena TRA 2018, 16–19 April 2018, Vienna, Austria (2018)Google Scholar
  12. 12.
    Gregurić, M., Mandžuka, S.: The use of cooperative approach in intelligent speed adaptation. In: Proceedings of 26th Telecommunications Forum (TELFOR 2018), Belgrade, Serbia, 20–21 September 2018Google Scholar
  13. 13.
    Wang, M., Daamen, W., Hoogendoorn, S.P.: Connected variable speed limits control and vehicle acceleration control to resolve moving jams. In: Transportation Research Board 94th Annual Meeting (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Martin Gregurić
    • 1
    Email author
  • Sadko Mandžuka
    • 1
  • Krešimir Vidović
    • 2
  1. 1.Faculty of Traffic and Transport SciencesUniversity of ZagrebZagrebCroatia
  2. 2.Ericsson Nikola TeslaZagrebCroatia

Personalised recommendations