Dynamic Modeling Of Lane Distribution Impact In Complex Freeways

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This paper presents a comprehensive framework for extracting georeferenced vehicle trajectories from high-altitude drone imagery, addressing key challenges in urban traffic monitoring and the limitations of traditional ground-based systems. Our approach in ...

Macroscopic fundamental diagrams (MFDs) have been widely adopted to model the traffic flow of large-scale urban networks. Coupling perimeter control and regional route guidance (PCRG) is a promising strategy to decrease congestion heterogeneity and reduce ...

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Accurate human trajectory prediction is crucial for applications such as autonomous vehicles, robotics, and surveillance systems. Yet, existing models often fail to fully leverage the non-verbal social cues human subconsciously communicate when navigating ...

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We consider the problem of defining and fitting models of autoregressive time series of probability distributions on a compact interval of Double-struck capital R. An order-1 autoregressive model in this context is to be understood as a Markov chain, where ...

The probability of detecting technosignatures (i.e., evidence of technological activity beyond Earth) increases with their longevity, or the time interval over which they manifest. Therefore, the assumed distribution of longevities has some bearing on the ...

Beliefs inform the behaviour of forward-thinking agents in complex environments. Recently, sequential Bayesian inference has emerged as a mechanism to study belief formation among agents adapting to dynamical conditions. However, we lack critical theory to ...

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The electrification of the transport sector is a key element in decarbonizing our societies. However, energy systems will have to cope with additional electricity demand due to the charging needs of electric vehicles (EVs) together with the integration of ...

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

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pNEUMA is an open large-scale dataset of naturalistic trajectories of half a million vehicles that have been collected by a one-of-a-kind experiment by a swarm of drones in the congested downtown area of Athens, Greece. A unique observatory of traffic cong ...

Urban proximity planning is foreseen as a solution to foster a “sustainable” city, including economic viability, environmental soundness and social inclusivity. This paper focuses on the inclusivity aspects by questioning the adoption of urban proximities: ...

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Microscopic traffic flow models can be distinguished in lane-based or lane-free depending on the degree of lane-discipline. This distinction holds true only if motorcycles are neglected in lane-based traffic. In cities, as opposed to highways, this is an o ...

In certain cases of astronomical data analysis, the meaningful physical quantity to extract is the ratio R between two data sets. Examples include the lensing ratio, the interloper rate in spectroscopic redshift samples, and the decay rate of gravitational ...

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Gradient-based learning in multi-layer neural networks displays a number of striking features. In particular, the decrease rate of empirical risk is non-monotone even after averaging over large batches. Long plateaus in which one observes barely any progre ...

Ridesourcing has driven a lot of attention in recent years with the expansion of companies like Uber, Lift, and many others around the world. Companies use mobile applications connected through the internet to match drivers and their passengers real-time. ...

Dynamic Modeling Of Lane Distribution Impact In Complex Freeways

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Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Universality laws for Gaussian mixtures in generalized linear models

Social-Transmotion: Promptable Human Trajectory Prediction

GreenEVT: Greensboro Electric Vehicle Testbed

On distributional autoregression and iterated transportation

Technosignatures Longevity and Lindy's Law

Stochastic pairwise preference convergence in Bayesian agents

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

From PV to EV: Mapping the Potential for Electric Vehicle Charging with Solar Energy in Europe

Spectral Estimators for High-Dimensional Matrix Inference

Partial annotations in active learning for semantic segmentation

pNEUMA dataset

Planning urban proximities: An empirical analysis of how residential preferences conflict with the urban morphologies and residential practices

Identification of typical district configurations: A two-step global sensitivity analysis framework

A hybrid microscopic model for multimodal traffic with empirical observations from aerial footage

An Unbiased Method of Measuring the Ratio of Two Data Sets

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Learning Time-Scales in Two-Layers Neural Networks

Modeling and Optimization of Ridesplitting Operations