[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 …
Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases
Abstract Automatic Number Plate Recognition (ANPR) technology has been intensively
engaged in managing the smartification and digitalization of cities in recent years as an …
engaged in managing the smartification and digitalization of cities in recent years as an …
Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform
The vehicle dispatching system is one of the most critical problems in online ride-hailing
platforms, which requires adapting the operation and management strategy to the dynamics …
platforms, which requires adapting the operation and management strategy to the dynamics …
Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management
Passenger transportation is one of the primary sources of urban carbon emissions. Travel
data acquisition and appropriate emission inventory availability make estimating high …
data acquisition and appropriate emission inventory availability make estimating high …
Identifying spatiotemporal characteristics and driving factors for road traffic CO2 emissions
Road traffic is an important contributor to CO 2 emissions. Previous studies lack enough
spatiotemporal resolution in emission calculation at the road level and ignore the impact of …
spatiotemporal resolution in emission calculation at the road level and ignore the impact of …
Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data
With the rapid development of urbanization and modernization, it is increasingly crucial to
sense network-wide traffic. Network-wide traffic volume information is of great benefit for …
sense network-wide traffic. Network-wide traffic volume information is of great benefit for …
[HTML][HTML] Gross polluters and vehicle emissions reduction
Vehicle emissions produce an important share of a city's air pollution, with a substantial
impact on the environment and human health. Traditional emission estimation methods use …
impact on the environment and human health. Traditional emission estimation methods use …
Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications
Urban environmental policies need to be rectified considering the spatioemporal variations
of traffic emissions. However, knowledge to support such a decision-making process is …
of traffic emissions. However, knowledge to support such a decision-making process is …
Quantifying and analyzing traffic emission reductions from ridesharing: A case study of Shanghai
Ridesharing has potential to mitigate traffic emissions. To better support policymaking, this
paper endeavors to estimate and analyze emission reductions by large-scale ridesharing …
paper endeavors to estimate and analyze emission reductions by large-scale ridesharing …
Spatiotemporal characteristics and driving factors of CO2 emissions from road freight transportation
Urban freight emissions play a vital role in the overall CO 2 emissions of the transportation
sector. However, previous studies have mainly focused on the CO 2 emissions of the entire …
sector. However, previous studies have mainly focused on the CO 2 emissions of the entire …