[HTML][HTML] Trajectory data-based traffic flow studies: A revisit
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
Review of modelling air pollution from traffic at street-level-The state of the science
Traffic emissions are a complex and variable cocktail of toxic chemicals. They are the major
source of atmospheric pollution in the parts of cities where people live, commute and work …
source of atmospheric pollution in the parts of cities where people live, commute and work …
Estimation of traffic energy consumption based on macro-micro modelling with sparse data from Connected and Automated Vehicles
Traffic energy consumption estimation is significant for the sustainable transportation.
However, it is difficult to directly employ macro traffic flow data to accurately estimate the …
However, it is difficult to directly employ macro traffic flow data to accurately estimate the …
Modeling relationship between truck fuel consumption and driving behavior using data from internet of vehicles
In this research, by taking advantage of dynamic fuel consumption–speed data from Internet
of Vehicles, we develop two novel computational approaches to more accurately estimate …
of Vehicles, we develop two novel computational approaches to more accurately estimate …
[HTML][HTML] Generating virtual vehicle trajectories for the estimation of emissions and fuel consumption
Microscopic emission models estimate second-by-second emissions and fuel consumption
for individual vehicles based on vehicle trajectories. A vehicle trajectory describes how the …
for individual vehicles based on vehicle trajectories. A vehicle trajectory describes how the …
Integrated macro-micro modelling for individual vehicle trajectory reconstruction using fixed and mobile sensor data
Vehicle trajectories can provide a clear picture of the traffic flow that plays a pivotal role in
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …
Automated Box–Jenkins forecasting tool with an application for passenger demand in urban rail systems
Efficient management of public transportation systems is one of the most important
requirements in rapidly urbanizing world. Forecasting the demand for transportation is …
requirements in rapidly urbanizing world. Forecasting the demand for transportation is …
Evaluation of roadside LiDAR-based and vision-based multi-model all-traffic trajectory data
Trajectory data has gained increasing attention in the transportation industry due to its
capability of providing valuable spatiotemporal information. Recent advancements have …
capability of providing valuable spatiotemporal information. Recent advancements have …
A license plate recognition data to estimate and visualise the restriction policy for diesel vehicles on urban air quality: A case study of Shenzhen
W Huang, X Xu, M Hu, W Huang - Journal of Cleaner Production, 2022 - Elsevier
Diesel vehicles for road freight are primary contributors to PM 2.5 and NO X emissions in
numerous cities. Shenzhen, which is a megacity in China, has made efforts to promote the …
numerous cities. Shenzhen, which is a megacity in China, has made efforts to promote the …
Traffic state and emission estimation for urban expressways based on heterogeneous data
Urban expressways, as the backbone of a city's transportation network, are critical for
reducing traffic congestion and improving transportation efficiency of the whole network. The …
reducing traffic congestion and improving transportation efficiency of the whole network. The …