Abstract
Elevation data is important for precise electric vehicle simulation. However, traffic simulators are often strictly two-dimensional and do not offer the capability of modelling urban networks taking elevation into account. In particular, SUMO—Simulation of Urban Mobility, a popular microscopic traffic simulation platform, relies on urban networks previously modelled with elevation data in order to use this information during simulations. This work tackles the problem of how to add this elevation data to urban network models—in particular for the case of the Porto urban network, in Portugal. With this goal in mind, a comparison between altitude information retrieval approaches is made and a tool to annotate network models with altitude data is proposed. This paper starts by describing the methodological approach followed to develop the work, then describing and analysing its main findings, including an in-depth explanation of the proposed tool.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barceló, J.: Microscopic traffic simulation: a tool for the analysis and assessment of ITS systems. In: Highway Capacity Committee, Half Year Meeting. http://www.tss-bcn.com
Behrisch, M., Bieker, L., Erdmann, J., Krajzewicz, D.: SUMO—simulation of urban mobility: an overview. In: Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation. ThinkMind (2011)
DLR—Institute of Transportation Systems: Models/Electric—SUMO—Simulation of Urban Mobility. http://www.sumo.dlr.de/userdoc/Models/Electric.html (2015)
DLR—Institute of Transportation Systems: NETCONVERT—Sumo. http://sumo.dlr.de/wiki/NETCONVERT (2015)
DLR—Institute of Transportation Systems: Networks/SUMO Road Networks—Sumo. http://sumo.dlr.de/wiki/Networks/SUMO_Road_Networks#Coordinates_and_alignment (2015)
DLR—Institute of Transportation Systems: SUMO—Simulation of Urban MObility. http://www.dlr.de/ts/en/desktopdefault.aspx/tabid-9883/16931_read-41000/ (2015)
Egbue, O., Long, S.: Barriers to widespread adoption of electric vehicles: an analysis of consumer attitudes and perceptions. Energy Policy 48, 717–729 (2012). http://www.sciencedirect.com/science/article/pii/S0301421512005162
European Commission—Eurostat: EU DEM (DD)—Eurostat. http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/elevation/eu-dem-dd (2016) (Accessed 23 June 2016)
Fellendorf, M.: VISSIM: a microscopic simulation tool to evaluate actuated signal control including bus priority. In: 64th Institute of Transportation Engineers Annual Meeting, pp. 1–9. Springer
Freitas, T.R.M., Coelho, A., Rossetti, R.J.F.: Correcting routing information through GPS data processing. In: 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 706–711 (Sep 2010)
Google: The Google Maps Elevation API | Google Maps Elevation API | Google Developers. https://developers.google.com/maps/documentation/elevation/intro
Hannan, M.A., Azidin, F.A., Mohamed, A.: Hybrid electric vehicles and their challenges: a review. Renew. Sustain. Energy Rev. 29, 135–150 (2014). http://www.sciencedirect.com/science/article/pii/S1364032113006370
Macedo, J., Kokkinogenis, Z., Soares, G., Perrotta, D., Rossetti, R.J.F.: A HLA-based multi-resolution approach to simulating electric vehicles in simulink and SUMO. In: 2013 16th International IEEE Conference on Intelligent Transportation Systems—(ITSC), pp. 2367–2372
Macedo, J., Guilherme, S., Kokkinogenis, Z., Perrota, D., Rossetti, R.J.F.: A framework for electric bus powertrain simulation in urban mobility settings: coupling SUMO with a matlab/simulink nanoscopic model. In: 1st SUMO User Conference 2013, pp. 95 – 102. Deutsches Zentrum für Luft- und Raumfahrt e.V. Institut für Verkehrssystemtechnik Rutherfordstraße 2, 12489 Berlin-Adlershof (2013)
Macedo, J.L.P.: An Integrated Framework for Multi-paradigm Traffic Simulation (Apr 2013). http://repositorio-aberto.up.pt/handle/10216/72541
Maia, R., Silva, M., Araujo, R., Nunes, U.: Electric vehicle simulator for energy consumption studies in electric mobility systems. In: 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, pp. 227–232. IEEE (Jun 2011)
MapTools: More details about the UTM coordinate system. https://www.maptools.com/tutorials/utm/details (2016)
Mehar, S., Zeadally, S., Remy, G., Senouci, S.M.: Sustainable transportation management system for a fleet of electric vehicles. IEEE Trans. Intell. Transp. Syst. 16(3), 1401–1414 (2015)
NASA Jet Propulsion Laboratory: Shuttle Radar Topography Mission. http://www2.jpl.nasa.gov/srtm/index.html
OpenStreetMap Foundation: OpenStreetMap. https://www.openstreetmap.org/#map=18/41.14987/-8.60989&layers=T
OSGeo Foundation: Proj4J. https://trac.osgeo.org/proj4j/ (2015)
Passos, L.S., Rossetti, R.J.F., Kokkinogenis, Z.: Towards the next-generation traffic simulation tools: a first appraisal. In: 2011 6th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6
Pereira, J.L., Rossetti, R.J.F.: An integrated architecture for autonomous vehicles simulation. In: Proceedings of the 27th Annual ACM Symposium on Applied Computing, pp. 286–292. ACM (2012)
Perrotta, D., Macedo, J.L., Rossetti, R.J.F., de Sousa, J.F., Kokkinogenis, Z., Ribeiro, B., Afonso, J.L.: Route planning for electric buses: a case study in oporto. Procedia Soc. Behav. Sci. 111, 1004–1014 (2014)
Perrotta, D., Ribeiro, B., Rossetti, R.J.F., Afonso, J.L.: On the potential of regenerative braking of electric buses as a function of their itinerary. Procedia Soc. Behav. Sci. 54, 1156 – 1167 (2012). http://www.sciencedirect.com/science/article/pii/S1877042812042929
Pitch Technologies: Pitch pRTI Free. http://www.pitch.se/downloads/pitch-prti-free (2015)
PostGIS Project Steering Committee: PostGIS—Spatial and Geographic Objects for PostgreSQL. http://postgis.net/
Rossetti, R.J.F., Almeida, J.E., Kokkinogenis, Z., Gonçalves, J.: Playing transportation seriously: applications of serious games to artificial transportation systems. IEEE Intell. Syst. 28(4), 107–112 (2013)
Rossetti, R.J.F., Bampi, S.: A software environment to integrate urban traffic simulation tasks. J. Geogr. Inf. Decis. Anal. 3(1), 56–63 (1999)
Rossetti, R.J.F., Ferreira, P.A.F., Braga, R.A.M., Oliveira, E.C.: Towards an artificial traffic control system. In: 2008 11th International IEEE Conference on Intelligent Transportation Systems, pp. 14–19. IEEE (2008)
Rossetti, R.J.F., Liu, R.: An agent-based approach to assess drivers’ interaction with pre-trip information systems. J. Intell. Transp. Syst. 9(1), 1–10 (2005)
Rossetti, R.J.F., Liu, R., Cybis, H.B.B., Bampi, S.: A multi-agent demand model. In: Proceedings of the 13th Mini-Euro Conference and The 9th Meeting of the Euro Working Group Transportation, pp. 193–198 (2002)
Rossetti, R.J.F., Oliveira, E.C., Bazzan, A.L.C.: Towards a specification of a framework for sustainable transportation analysis. In: 13th Portuguese Conference on Artificial Intelligence, EPIA, Guimarães, Portugal, pp. 179–190. APPIA (2007)
Santos, D., Pinto, J., Rossetti, R.J.F., Oliveira, E.: Three dimensional modelling of porto’s network for electric mobility simulation. In: 2016 11th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (Jun 2016)
Santos, D., Kokkinogenis, Z., de Sousa, J.F., Perrotta, D., Rossetti, R.J.F.: Towards integrating electric buses in conventional bus fleets. In: 19th International IEEE Conference on Intelligent Transportation Systems (ITSC) (Nov 2016) (To be published)
da Silva, B.C., Bazzan, A.L.C., Andriotti, G.K., Lopes, F., de Oliveira, D.: ITSUMO: An Intelligent Transportation System for Urban Mobility, pp. 224–235. Springer (2004)
Silva, J.F., Almeida, J.E., Rossetti, R.J.F., Coelho, A.L.: Gamifying evacuation drills. In: 2013 8th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6. IEEE (2013)
Steinhilber, S., Wells, P., Thankappan, S.: Socio-technical inertia: understanding the barriers to electric vehicles. Energy Policy 60, 531–539 (2013). http://www.sciencedirect.com/science/article/pii/S0301421513003303
The MathWorks Inc.: Simulink—Simulation and Model-Based Design. https://www.mathworks.com/products/simulink/ (2015)
Timoteo, I.J., Araujo, M.R., Rossetti, R.J.F., Oliveira, E.C.: TraSMAPI: an API oriented towards multi-agent systems real-time interaction with multiple traffic simulators. In: 13th International IEEE Conference on Intelligent Transportation Systems, pp. 1183–1188. IEEE (Sep 2010)
Yilmaz, M., Krein, P.T.: Review of battery charger topologies, charging power levels, and infrastructure for plug-in electric and hybrid vehicles. IEEE Trans. Power Electron. 28(5), 2151–2169 (2013)
Yong, J.Y., Ramachandaramurthy, V.K., Tan, K.M., Mithulananthan, N.: A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects. Renew. Sustain. Energy Rev. 49, 365–385 (2015). http://www.sciencedirect.com/science/article/pii/S1364032115004001
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Santos, D., Pinto, J., Rossetti, R.J.F., Oliveira, E. (2018). Adding the Third Dimension to Urban Networks for Electric Mobility Simulation: An Example for the City of Porto . In: Rocha, Á., Reis, L. (eds) Developments and Advances in Intelligent Systems and Applications. Studies in Computational Intelligence, vol 718. Springer, Cham. https://doi.org/10.1007/978-3-319-58965-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-58965-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-58963-3
Online ISBN: 978-3-319-58965-7
eBook Packages: EngineeringEngineering (R0)