Scipediacontent: Scipediacontent moved page Draft Content 107536637 to Oliveira et al 2014a

2021-02-03T17:42:46Z

Scipediacontent moved page Draft Content 107536637 to Oliveira et al 2014a

Scipediacontent: Created page with " == Abstract == This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic deman..."

2021-02-03T17:42:43Z

Created page with " == Abstract == This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic deman..."

New page

== Abstract ==

This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic demand scenarios for the Simulation of Urban MObility (SUMO) tool for urban traffic simulation is described. This methodology is based on a Portugal census database to generate a synthetic population for a given area under study. A realistic case study of a Portuguese city, Vila Real, is assessed. For this area the road network was created along with a synthetic population and public transport. The traffic results were obtained and an electric buses fleet was evaluated assuming that the actual fleet would be replaced in a near future. The energy requirements to charge the electric fleet overnight were estimated in order to evaluate the impacts that it would cause in the local electricity network.

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10400.22/5871 http://hdl.handle.net/10400.22/5871]

* [http://xplorestaging.ieee.org/ielx7/6916492/6938773/06939088.pdf?arnumber=6939088 http://xplorestaging.ieee.org/ielx7/6916492/6938773/06939088.pdf?arnumber=6939088],
: [http://dx.doi.org/10.1109/pesgm.2014.6939088 http://dx.doi.org/10.1109/pesgm.2014.6939088]

* [https://ieeexplore.ieee.org/iel7/6916492/6938773/06939088.pdf https://ieeexplore.ieee.org/iel7/6916492/6938773/06939088.pdf],
: [http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6939088 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6939088],
: [06939088.pdf 06939088.pdf],
: [https://academic.microsoft.com/#/detail/2017972348 https://academic.microsoft.com/#/detail/2017972348]

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Oliveira et al 2014a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 107536637 to Oliveira et al 2014a

Scipediacontent: Created page with " == Abstract == This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic deman..."