Skip to main content
main-content
Top

Hint

Swipe to navigate through the chapters of this book

2019 | OriginalPaper | Chapter

Performance Evaluation of GLOSA-Algorithms Under Realistic Traffic Conditions Using C2I-Communication

Authors: Michael Kloeppel, Jan Grimm, Severin Strobl, Rico Auerswald

Published in: Data Analytics: Paving the Way to Sustainable Urban Mobility

Publisher: Springer International Publishing

share
SHARE

Abstract

The aim of Green Light Optimized Speed Advisory (GLOSA) systems is to assist individual vehicles approaching an intersection with speed advices (either as single target speed or as complex speed-distance relation) in order to fulfill a given objective. Common objectives include the minimization of fuel usage, emissions and/or delay. The literature provides a wide selection of GLOSA-algorithms addressing different aspects of a real world application, like surrounding traffic, fixed time or actuated traffic lights and mode of communication. However, previous research usually addressed only a subset of possible aspects. Therefore, our goal is to investigate how the existing algorithms hold up in a scenario under largely realistic conditions. We measure the performance (in terms of overall fuel usage, carbon dioxide emissions and delay) of the different GLOSA-algorithms and identify potential shortcomings.
Literature
1.
go back to reference ETSI EN 302 637-2 V1.3.2 (2014-11) Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service. Technical report, ETSI (2014) ETSI EN 302 637-2 V1.3.2 (2014-11) Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service. Technical report, ETSI (2014)
2.
go back to reference Fahrzeugzulassungen (FZ) Bestand nach Umwelt-Merkmalen 1. Technical report, Kraftfahrt-Bundesamt, January 2017 Fahrzeugzulassungen (FZ) Bestand nach Umwelt-Merkmalen 1. Technical report, Kraftfahrt-Bundesamt, January 2017
5.
go back to reference Huang, A.S., Olson, E., Moore, D.C.: LCM: lightweight communications and marshalling. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4057–4062 (2010) Huang, A.S., Olson, E., Moore, D.C.: LCM: lightweight communications and marshalling. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4057–4062 (2010)
6.
go back to reference Katsaros, K., Kernchen, R., Dianati, M., Rieck, D.: Performance study of a green light optimized speed advisory (GLOSA) application using an integrated cooperative its simulation platform. In: 2011 7th International Wireless Communications and Mobile Computing Conference, pp. 918–923 (2011) Katsaros, K., Kernchen, R., Dianati, M., Rieck, D.: Performance study of a green light optimized speed advisory (GLOSA) application using an integrated cooperative its simulation platform. In: 2011 7th International Wireless Communications and Mobile Computing Conference, pp. 918–923 (2011)
7.
go back to reference van Katwijk, R.T., Gabriel, S.: Optimising a vehicle’s approach towards an adaptively controlled intersection. IET Intell. Transp. Syst. 9(5), 479–487 (2015) CrossRef van Katwijk, R.T., Gabriel, S.: Optimising a vehicle’s approach towards an adaptively controlled intersection. IET Intell. Transp. Syst. 9(5), 479–487 (2015) CrossRef
8.
go back to reference Krajzewicz, D., Erdmann, J., Behrisch, M., Bieker, L.: Recent development and applications of SUMO - Simulation of Urban MObility. Int. J. Adv. Syst. Meas. 5(3&4), 128–138 (2012) Krajzewicz, D., Erdmann, J., Behrisch, M., Bieker, L.: Recent development and applications of SUMO - Simulation of Urban MObility. Int. J. Adv. Syst. Meas. 5(3&4), 128–138 (2012)
9.
go back to reference Schindler, A.: Vehicle self-localization with high-precision digital maps. In: 2013 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), pp. 134–139 (2013) Schindler, A.: Vehicle self-localization with high-precision digital maps. In: 2013 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), pp. 134–139 (2013)
10.
go back to reference Stebbins, S., Hickman, M., Kim, J., Vu, H.L.: Characterising green light optimal speed advisory trajectories for platoon-based optimisation. Transp. Res. Part C Emerg. Technol. 82, 43–62 (2017) CrossRef Stebbins, S., Hickman, M., Kim, J., Vu, H.L.: Characterising green light optimal speed advisory trajectories for platoon-based optimisation. Transp. Res. Part C Emerg. Technol. 82, 43–62 (2017) CrossRef
11.
go back to reference Widodo, S., Hasegawa, T., Tsugawa, S.: Vehicle fuel consumption and emission estimation in environment-adaptive driving with or without inter-vehicle communications. In: Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No. 00TH8511), pp. 382–386 (2000) Widodo, S., Hasegawa, T., Tsugawa, S.: Vehicle fuel consumption and emission estimation in environment-adaptive driving with or without inter-vehicle communications. In: Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No. 00TH8511), pp. 382–386 (2000)
Metadata
Title
Performance Evaluation of GLOSA-Algorithms Under Realistic Traffic Conditions Using C2I-Communication
Authors
Michael Kloeppel
Jan Grimm
Severin Strobl
Rico Auerswald
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-02305-8_6