[HTML][HTML] A review of transportation carbon emissions research using bibliometric analyses
J Fan, X Meng, J Tian, C ** …
Estimating vehicle fuel consumption and emissions using GPS big data
The energy consumption and emissions from vehicles adversely affect human health and
urban sustainability. Analysis of GPS big data collected from vehicles can provide useful …
urban sustainability. Analysis of GPS big data collected from vehicles can provide useful …
Modeling heterogeneous traffic mixing regular, connected, and connected-autonomous vehicles under connected environment
S Cui, F Cao, B Yu, B Yao - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
As inter-vehicle communication and automatic driving technology continue to develop, but
are not yet popular, regular vehicles, connected vehicles and connected autonomous …
are not yet popular, regular vehicles, connected vehicles and connected autonomous …
Emission control based energy efficiency measures in ship operations
LP Perera, B Mo - Applied Ocean Research, 2016 - Elsevier
This study presents an overview of emission control based energy efficiency measures in
the ship operation phase with respect to possible energy conservation situations. The first …
the ship operation phase with respect to possible energy conservation situations. The first …
Spatiotemporal graph convolution multifusion network for urban vehicle emission prediction
Urban vehicle emission prediction can help the regulation of vehicle pollution and traffic
control. However, it is hard to predict the spatiotemporal variation of vehicle emission …
control. However, it is hard to predict the spatiotemporal variation of vehicle emission …
Real-time carbon emissions monitoring of high-energy-consumption enterprises in Guangxi based on electricity big data
C Zhou, X Lin, R Wang, B Song - Energies, 2023 - mdpi.com
Real-time carbon emissions monitoring at the enterprise level is a crucial tool in shifting
macrolevel carbon peak and carbon neutrality plans toward micro-level implementations …
macrolevel carbon peak and carbon neutrality plans toward micro-level implementations …
A multiple regression approach for traffic flow estimation
Traffic flow information is of great importance for transport planning and related research.
The conventional methods of automated data collection, such as annual average daily traffic …
The conventional methods of automated data collection, such as annual average daily traffic …
Reliable shortest path problems in stochastic time-dependent networks
This study investigates the time-dependent reliable shortest path problem (TD-RSPP), which
is commonly encountered in congested urban road networks. Two variants of TD-RSPP are …
is commonly encountered in congested urban road networks. Two variants of TD-RSPP are …