Smart Mobility in Smart Cities: Emerging challenges, recent advances and future directions
The world is witnessing a vivid race toward developing advanced solutions to enable smart,
fast, affordable and environment friendly mobility for Smart Cities inhabitants. This led to the …
fast, affordable and environment friendly mobility for Smart Cities inhabitants. This led to the …
[HTML][HTML] Traffic congestion patterns in the urban road network:(Dammam metropolitan area)
KM Almatar - Ain Shams engineering journal, 2023 - Elsevier
Traffic congestion is a significant problem affecting the sustainable development of urban
traffic. It is important to analyze the congestion and forecast future traffic models to prevent …
traffic. It is important to analyze the congestion and forecast future traffic models to prevent …
[HTML][HTML] Business models in times of disruption: The connected and autonomous vehicles (uncertain) domino effect
The ongoing digitalization of the economy is challenging the value creation process in
traditional business. In the mobility-related industry, the disruptive potential of Connected …
traditional business. In the mobility-related industry, the disruptive potential of Connected …
Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease
This study presents the result of a traffic simulation analysis based on Floating Car Data and
a noise emission assessment to show the impact of mobility restriction for COVID-19 …
a noise emission assessment to show the impact of mobility restriction for COVID-19 …
Vehicle trajectory prediction and generation using LSTM models and GANs
Vehicles' trajectory prediction is a topic with growing interest in recent years, as there are
applications in several domains ranging from autonomous driving to traffic congestion …
applications in several domains ranging from autonomous driving to traffic congestion …
Enhancing average speed emission models to account for congestion impacts in traffic network link-based simulations
C Samaras, D Tsokolis, S Toffolo, G Magra… - … Research Part D …, 2019 - Elsevier
This study aims to demonstrate a new approach for estimating fuel consumption from
vehicles circulating on urban roads with different levels of congestion. A microscopic …
vehicles circulating on urban roads with different levels of congestion. A microscopic …
Tracking air quality trends and vehicle traffic dynamics at urban scale using satellite and ground data before and after the COVID-19 outbreak
D De Santis, S Amici, C Milesi, D Muroni… - Science of the Total …, 2023 - Elsevier
The implications of the COVID-19 outbreak are subjected to an increasing number of
studies. So far, air quality trends related to the lockdown due to the pandemic have been …
studies. So far, air quality trends related to the lockdown due to the pandemic have been …
The prediction of traffic flow with regression analysis
Traffic data mining applying machine learning algorithms is necessary to analyse and
understand the road traffic flow in busy cities. Also, it is very essential for making smart cities …
understand the road traffic flow in busy cities. Also, it is very essential for making smart cities …
Spatial heterogeneity and migration characteristics of traffic congestion—A quantitative identification method based on taxi trajectory data
It is of great reference significance to exploring spatial dependence of urban traffic activities
and researching internal causes of regional traffic state changes for road network …
and researching internal causes of regional traffic state changes for road network …
Impact of the COVID-19 pandemic on bike-sharing uses in two French towns: the cases of Lyon and Toulouse
Urban areas have been dramatically impacted by the sudden and fast spread of the COVID-
19 pandemic. As one of the most noticeable consequences of the pandemic, people have …
19 pandemic. As one of the most noticeable consequences of the pandemic, people have …