Download | - View final version: Canadian long-haul trucking dataset meta-analysis (PDF, 2.0 MiB)
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DOI | Resolve DOI: https://doi.org/10.4224/40003323 |
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Author | Search for: Croken, Mark1; Search for: Dai, Chengbi1; Search for: Liu, Yan1; Search for: Rabbitt, Christopher1 |
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Affiliation | - National Research Council of Canada. Automotive and Surface Transportation
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Sponsor | Search for: Transport Canada |
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Format | Text, Technical Report |
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Edition | Version 4.0 |
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Physical description | 67 p. |
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Abstract | The purpose of this Canadian long-haul trucking dataset meta-analysis is to conduct a review of available trucking datasets against the following objectives:
1. Analyze highly used Canadian trucking routes;
2. Address remaining data gaps;
3. Specify the vehicle technology requirements (i.e., range, payload capacity, charging/refueling
times, etc.) to electrify heavy duty Class 7 and 8 freight-hauling trucks (including regional and
short haul operations and battery electric and hydrogen powered drivetrains) considering,
specifically, the Canadian operational context;
4. Identify potential locations for zero emission truck fast chargers and hydrogen refueling stations
under several adoption scenarios. The analysis takes into account vehicle numbers and energy
and power needs for long-haul trucking. |
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Publication date | 2024-03-21 |
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Publisher | National Research Council of Canada. Automotive and Surface Transportation Research Centre |
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Series | |
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Language | English |
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Peer reviewed | No |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | 6d4d775b-3551-48ec-a20a-3e7da90d64d0 |
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Record created | 2024-05-06 |
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Record modified | 2024-05-10 |
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