Vehicle carbon emission estimation for urban traffic based on sparse trajectory data-Reference-Cited by-同舟云学术

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Vehicle carbon emission estimation for urban traffic based on sparse trajectory data

Published:2024-02 Issue: Volume: Page:
ISSN:2046-0430
Container-title:International Journal of Transportation Science and Technology
language:en
Short-container-title:International Journal of Transportation Science and Technology

Author:

Ma Wanjing,Liu Yuhan^ORCID,Alimo Philip Kofi,Wang Ling

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference53 articles.

1. Estimating real-time traffic carbon dioxide emissions based on intelligent transportation system technologies;Chang;IEEE Trans. Intell. Transp. Syst.,2012

2. Automatically tracking road centerlines from low-frequency GPS trajectory data;Chen;ISPRS Int. J. Geo Inf.,2021

3. Adaptive rolling smoothing with heterogeneous data for traffic state estimation and prediction;Chen;IEEE Trans. Intell. Transp. Syst.,2018

4. Vehicle trajectory reconstruction at signalized intersections under connected and automated vehicle environment;Chen;IEEE Trans. Intell. Transp. Syst.,2022

5. What is the most representative standard driving cycle to estimate diesel emissions of a light commercial vehicle?;Chindamo;IFAC-PapersOnLine,2018

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