Optimization of Freight Charging Infrastructure Placement Using Multiday Travel Data-Reference-Cited by-同舟云学术

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Optimization of Freight Charging Infrastructure Placement Using Multiday Travel Data

Published:2023-09-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
language:
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Author:

Fu Jiali¹,Bhatti Harrison John²,Eek Magnus³

Affiliation:

1. Swedish National Road and Transport Research Institute (VTI),Stockholm,Sweden,SE-114 28

2. Swedish National Road and Transport Research Institute (VTI),Göteborg,Sweden,SE-402 78

3. Swedish National Road and Transport Research Institute (VTI), Terra,Linköping,Sweden,583 30

Funder

Swedish Energy Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422334.pdf?arnumber=10422334

Reference33 articles.

1. Distribution of carbon dioxide emissions produced by the transportation sector worldwide in 2021, by subsector;Tiseo,2023

2. Where to Charge Electric Trucks in Europe—Modelling a Charging Infrastructure Network

3. CO2 fleet regulation and the future market diffusion of zero-emission trucks in Europe

4. Comparing Options to Electrify Heavy-Duty Vehicles: Findings of German Pilot Projects

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Modeling of Travel Times on the Example of Food Delivery: Part 1—Spatial Data Analysis and Processing;Electronics;2024-08-26

2. Integrating Efficient Routes with Station Monitoring for Electric Vehicles in Urban Environments: Simulation and Analysis;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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