The Impact of Electric Mobility Scenarios in Large Urban Areas: The Rome Case Study
暂无分享,去创建一个
Marialisa Nigro | Carlo Liberto | Gaetano Valenti | Maria Lelli | Marina Ferrara | Silvia Orchi | G. Valenti | Marialisa Nigro | C. Liberto | Marina Ferrara | Silvia Orchi | M. Lelli
[1] Lars Schnieder,et al. Simulation Based Studies on the Integration of Battery-Electric Vehicles in Regional Bus Services , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[2] Zeinab Moghaddam,et al. Smart charging strategies for electric vehicle charging stations , 2019 .
[3] Maarouf Saad,et al. A novel approach for sizing electric vehicles Parking Lot located at any bus on a network , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).
[4] D. Montenegro,et al. Li-Ion battery management system based in fuzzy logic for improving electric vehicle autonomy , 2017, 2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA).
[5] Chun Zhang,et al. Urban travel behavior analyses and route prediction based on floating car data , 2014 .
[6] Melody L. Baglione,et al. Development of System Analysis Methodologies and Tools for Modeling and Optimizing Vehicle System Efficiency. , 2007 .
[7] Marialisa Nigro,et al. Design and evaluation of electric solutions for public transport , 2017 .
[8] G. Etiope. EMEP/EEA air pollutant emission inventory guidebook 2009 , 2009 .
[9] C. Liberto,et al. Urban-scale macroscopic fundamental diagram: An application to the real case study of Rome , 2017 .
[10] Carlo Liberto,et al. Traffic Prediction in Metropolitan Freeways , 2010 .
[11] Gaetano Fusco,et al. A Model for Transit Design with Choice of Electric Charging System , 2013 .
[12] Matjaz Knez,et al. Policies for Promotion of Electric Vehicles and Factors Influencing Consumers’ Purchasing Decisions of Low Emission Vehicles , 2017 .
[13] Mohammad Ashiqur Rahman,et al. Optimal Deployment of Charging Stations for Electric Vehicles: A Formal Approach , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW).
[14] Mansour Rahimi,et al. Future energy loads for a large-scale adoption of electric vehicles in the city of Los Angeles: Impacts on greenhouse gas (GHG) emissions , 2014 .
[15] Chengyang Zhang,et al. Map-matching for low-sampling-rate GPS trajectories , 2009, GIS.
[16] Martin Weiss,et al. Analyzing on-road emissions of light-duty vehicles with Portable Emission Measurement Systems (PEMS) , 2011 .
[17] Nils J. Nilsson,et al. A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..
[18] Michele Manno,et al. Analysis of the Impact of Electric Vehicle Penetration on Italian Electric Supply System , 2017 .
[19] Ricardo Martinez-Botas,et al. Comparative analysis of the energy consumption and CO2 emissions of 40 electric, plug-in hybrid electric, hybrid electric and internal combustion engine vehicles , 2013 .
[20] Fernando Ortenzi,et al. On the energy efficiency of quick DC vehicle battery charging , 2015 .
[21] Marcin Seredynski,et al. A survey of cooperative ITS for next generation public transport systems , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[22] Ismail Oukkacha,et al. Electric vehicles energy management using lithium-batteries and ultracapacitors , 2017, 2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER).
[23] Fuyuan Yang,et al. Impact of control strategy on battery degradation for a plug-in hybrid electric city bus in China , 2016 .
[24] Natascha Kljun,et al. Emission factor modelling and database for light vehicles - Artemis deliverable 3 , 2007 .
[25] Justine Sears,et al. A comparison of electric vehicle Level 1 and Level 2 charging efficiency , 2014, 2014 IEEE Conference on Technologies for Sustainability (SusTech).
[26] Kai Strunz,et al. Electric Vehicle Battery Technologies , 2013 .
[27] Matthew G. Karlaftis,et al. Sustainable urban transit network design , 2015 .
[28] Hongwen He,et al. Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming , 2017 .
[29] Gaetano Fusco,et al. Comparative Analysis of Implicit Models for Real-time Short-term Traffic Predictions , 2016 .
[30] Kotagiri Ramamohanarao,et al. Robust inferences of travel paths from GPS trajectories , 2015, Int. J. Geogr. Inf. Sci..
[31] Joongha Ahn,et al. Well-to-wheel analysis of greenhouse gas emissions for electric vehicles based on electricity generation mix: A global perspective , 2017 .
[32] N. Hatziargyriou,et al. Efficient integration of electric vehicles in distribution networks with high share of renewable energy sources , 2016 .
[33] Chao Yang,et al. Model Predictive Control-based Efficient Energy Recovery Control Strategy for Regenerative Braking System of Hybrid Electric Bus , 2016 .
[34] Kankar Bhattacharya,et al. Optimal design of electric vehicle charging stations considering various energy resources , 2017 .
[35] Marialisa Nigro,et al. The impact of battery electric buses in public transport , 2017, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).
[36] Mihály Katona,et al. Primary energy consumption and CO2 emission of internal combustion engine and electric vehicles , 2017, 2017 6th International Youth Conference on Energy (IYCE).
[37] Feng Lu,et al. A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data , 2017, IEEE Transactions on Intelligent Transportation Systems.
[38] Marialisa Nigro,et al. Evaluation of the impact of e-mobility scenarios in large urban areas , 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).
[39] S. Borenstein,et al. Designing policy incentives for cleaner technologies: Lessons from California's plug-in electric vehicle rebate program , 2017 .