In this paper, we evaluate the changes in energy demand and resulting climate change and air pollutant emissions from the electrification of both the private vehicle fleet and the public transport fleet in the city of Rome, Italy. This paper provides a well-to-wheel analysis and considers two alternative hypotheses for the vehicles fleet renewal up to 2025. A data-driven approach is followed, where real traffic patterns from floating car data are adopted as well as geo-referenced open data published in the General Transit Feed Specification format by Rome's public transport agency. Specific energy consumption models for electric vehicles have been calibrated, based on real driving cycles. Moreover, the economic benefit resulting from the reduction of externalities has been assessed.
|Journal||IEEE Transactions on Intelligent Transportation Systems|
|Publication status||Accepted/In press - 15 May 2018|
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications