Spatiotemporal clustering: a review
An increase in the size of data repositories of spatiotemporal data has opened up new
challenges in the fields of spatiotemporal data analysis and data mining. Foremost among …
challenges in the fields of spatiotemporal data analysis and data mining. Foremost among …
A survey of methods and technologies for congestion estimation based on multisource data fusion
Traffic congestion occurs when traffic demand is greater than the available network capacity.
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …
Determinants of the congestion caused by a traffic accident in urban road networks
Non-recurrent congestion is frustrating to travelers as it often causes unexpected delay,
which would result in missing important meetings or appointments. Major causes of non …
which would result in missing important meetings or appointments. Major causes of non …
Distributed classification of urban congestion using VANET
R Al Mallah, A Quintero… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) can efficiently detect traffic congestion, but detection is
not enough, because congestion can be further classified as recurrent and non-recurrent …
not enough, because congestion can be further classified as recurrent and non-recurrent …
Weighted complex network analysis of the Beijing subway system: Train and passenger flows
J Feng, X Li, B Mao, Q Xu, Y Bai - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
In recent years, complex network theory has become an important approach to the study of
the structure and dynamics of traffic networks. However, because traffic data is difficult to …
the structure and dynamics of traffic networks. However, because traffic data is difficult to …
[HTML][HTML] Spatiotemporal analysis of urban road congestion during and post COVID-19 pandemic in Shanghai, China
Abstract Coronavirus Disease 2019 (COVID-19) has become one of the most serious global
health crises in decades and tremendously influence the human mobility. Many residents …
health crises in decades and tremendously influence the human mobility. Many residents …
Vehicle mode and driving activity detection based on analyzing sensor data of smartphones
In this paper, we present a flexible combined system, namely the Vehicle mode-driving
Activity Detection System (VADS), that is capable of detecting either the current vehicle …
Activity Detection System (VADS), that is capable of detecting either the current vehicle …
A special event-based K-nearest neighbor model for short-term traffic state prediction
H Yu, N Ji, Y Ren, C Yang - Ieee Access, 2019 - ieeexplore.ieee.org
Recently, short-term traffic state prediction for urban transportation networks has become a
popular topic. However, due to the uncontrollable and unpredictable elements of special …
popular topic. However, due to the uncontrollable and unpredictable elements of special …
Prediction of traffic flow via connected vehicles
R Al Mallah, A Quintero… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We propose a short-term traffic flow prediction (STP) framework so that transportation
authorities take early actions to control flow and prevent congestion. We anticipate flow at …
authorities take early actions to control flow and prevent congestion. We anticipate flow at …
Incorporating multiple congestion levels into spatiotemporal analysis for the impact of a traffic incident
Traffic incidents occurring on the road interrupt the smooth mobility of traffic flow and lead to
traffic congestion. Although there has been a proliferation of studies that attempt to estimate …
traffic congestion. Although there has been a proliferation of studies that attempt to estimate …