Large-scale transportation network congestion evolution prediction using deep learning theory
Understanding how congestion at one location can cause ripples throughout large-scale
transportation network is vital for transportation researchers and practitioners to pinpoint …
transportation network is vital for transportation researchers and practitioners to pinpoint …
The path most traveled: Travel demand estimation using big data resources
Rapid urbanization is placing increasing stress on already burdened transportation
infrastructure. Ubiquitous mobile computing and the massive data it generates presents new …
infrastructure. Ubiquitous mobile computing and the massive data it generates presents new …
A complex network perspective for characterizing urban travel demand patterns: graph theoretical analysis of large-scale origin–destination demand networks
Urban travel demand, consisting of thousands or millions of origin–destination trips, can be
viewed as a large-scale weighted directed graph. The paper applies a complex network …
viewed as a large-scale weighted directed graph. The paper applies a complex network …
Multiplex networks in metropolitan areas: generic features and local effects
Most large cities are spanned by more than one transportation system. These different
modes of transport have usually been studied separately: it is however important to …
modes of transport have usually been studied separately: it is however important to …
Macroscopic dynamics and the collapse of urban traffic
Stories of mega-jams that last tens of hours or even days appear not only in fiction but also
in reality. In this context, it is important to characterize the collapse of the network, defined as …
in reality. In this context, it is important to characterize the collapse of the network, defined as …
Demand and congestion in multiplex transportation networks
Urban transportation systems are multimodal, sociotechnical systems; however, while their
multimodal aspect has received extensive attention in recent literature on multiplex …
multimodal aspect has received extensive attention in recent literature on multiplex …
A Novel Approach for Predicting wide range of traffic congestion using deep learning Technique
ANG Jeevan, K Keerthika, SR Terli… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
Identifying traffic bottlenecks and devising solutions to the problem requires researchers and
practitioners in transportation to understand how congestion in one place impacts the rest of …
practitioners in transportation to understand how congestion in one place impacts the rest of …
Public transport network model based on layer operations
Y Sui, F Shao, X Yu, R Sun, S Li - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Recent years have witnessed amount of studies on characteristics of public transport
network and passengers' flows, however, most of them are discussed independently. An …
network and passengers' flows, however, most of them are discussed independently. An …
Cascading failures in spatially-embedded random networks
A Asztalos, S Sreenivasan, BK Szymanski, G Korniss - PloS one, 2014 - journals.plos.org
Cascading failures constitute an important vulnerability of interconnected systems. Here we
focus on the study of such failures on networks in which the connectivity of nodes is …
focus on the study of such failures on networks in which the connectivity of nodes is …
Understanding traffic congestion via network analysis, agent modeling, and the trajectory of urban expansion: a coastal city case
The study of patterns of urban mobility is of utter importance for city growth projection and
development planning. In this paper, we analyze the topological aspects of the street …
development planning. In this paper, we analyze the topological aspects of the street …