Abstract
Elevation data is important for electric vehicle simulation. However, traffic simulators are often two-dimensional and do not offer the capability of modelling urban networks taking elevation into account. Specifically, SUMO - Simulation of Urban Mobility, a popular microscopic traffic simulator, relies on networks previously modelled with elevation data as to provide this information during simulations. This work tackles the problem of adding elevation data to urban network models - particularly for the case of the Porto urban network, in Portugal. With this goal in mind, a comparison between different altitude information retrieval approaches is made and a simple tool to annotate network models with altitude data is proposed. The work starts by describing the methodological approach followed during research and development, then describing and analysing its main findings. This description includes an in-depth explanation of the proposed tool. Lastly, this work reviews some related work to the subject.
Highlights
This work was motivated by a presentation with the theme "Assessing the Performance of Electric Buses: a study on the impacts of different routes" by Deborah Perrotta, based on some of the author’s previous work (Perrotta et al, 2012, 2014)
The Google Maps API can be considered fast to process large bulks of data, no clear advantage in API call time is obtained by querying for a single point
The data obtained using the API is the same used in Google Earth / Google Maps which, in general, means good quality data
Summary
This work was motivated by a presentation with the theme "Assessing the Performance of Electric Buses: a study on the impacts of different routes" by Deborah Perrotta, based on some of the author’s previous work (Perrotta et al, 2012, 2014). Research brought to attention three possible approaches: manually capturing altitude information using a GPS device, using a combination of OpenStreetMap maps and data from the Shuttle Radar Topography Mission to retrieve altitude for our region of interest and, lastly, using the Google Maps Elevation API, by Google. Urban network simulation To allow for future testing and integration of the altitude data into more complex simulation systems, the simulation architecture proposed by Macedo et al (Macedo et al, 2013b, 2013c) was installed and configured This architecture comprises in the interconnection of the SUMO simulator with Simulink models, through a High Level Architecture (in the case of this work, Pitch pRTI (Pitch Technologies, 2015)). Since the simulations did not implement usage of altitude information from SUMO yet, no testing of its performance was made
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