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Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving
BS Kerner - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
In a mini-review Kerner (2013) it has been shown that classical traffic flow theories and
models failed to explain empirical traffic breakdown—a phase transition from metastable …
models failed to explain empirical traffic breakdown—a phase transition from metastable …
[HTML][HTML] Empirics of multi-modal traffic networks–Using the 3D macroscopic fundamental diagram
Traffic is multi-modal in most cities. However, the impacts of different transport modes on
traffic performance and on each other are unclear–especially at the network level. The …
traffic performance and on each other are unclear–especially at the network level. The …
[HTML][HTML] Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations
Accurate and explainable short-term traffic forecasting is pivotal for making trustworthy
decisions in advanced traffic control and guidance systems. Recently, deep learning …
decisions in advanced traffic control and guidance systems. Recently, deep learning …
Traffic efficiency applications over downtown roads: A new challenge for intelligent connected vehicles
Vehicular network technology is frequently used to provide several services and
applications for drivers on road networks. The proposed applications in the environment of …
applications for drivers on road networks. The proposed applications in the environment of …
[HTML][HTML] Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year
Urban road transportation performance is the result of a complex interplay between the
network supply and the travel demand. Fortunately, the framework around the macroscopic …
network supply and the travel demand. Fortunately, the framework around the macroscopic …
Stochastic approximations for the macroscopic fundamental diagram of urban networks
This paper proposes a theory for estimating the Macroscopic Fundamental Diagram (MFD)
on inhomogeneous corridors and networks using probabilistic methods. By exploiting a …
on inhomogeneous corridors and networks using probabilistic methods. By exploiting a …
Estimating network travel time reliability with network partitioning
Network travel time reliability can be represented by a relationship between network space-
mean travel time and the standard deviation of network travel time. The primary objective of …
mean travel time and the standard deviation of network travel time. The primary objective of …
Incorporating Land Use and Transport Interaction Models to Evaluate Active Mobility Measures and Interventions in Urban Areas: A case study in Southampton, UK
New transport strategies, which aspire to create sustainable and resilient cities, prioritize
active and public transport modes. This paper investigates the differences in accessibility …
active and public transport modes. This paper investigates the differences in accessibility …
Analytical optimal solution of perimeter traffic flow control based on MFD dynamics: A Pontryagin's maximum principle approach
Perimeter traffic flow control, based on the macroscopic fundamental diagram (MFD), has
been introduced for traffic control and congestion management in large-scale networks. The …
been introduced for traffic control and congestion management in large-scale networks. The …
Traffic-responsive signals combined with perimeter control: investigating the benefits
Empirical and research evidence suggests that traffic-responsive signal control strategies
are generally not as efficient in over-saturated traffic conditions characterized by queue …
are generally not as efficient in over-saturated traffic conditions characterized by queue …