Latest Articles for Transportation

A new method to improve transportation efficiency by integrating real-world constraints.

A method to improve robot movement in busy areas by separating decision-making.

New methods aim to improve wireless charging for mobile devices and electric vehicles.

A look at robust shortest path problems in uncertain network conditions.

Innovative approach uses driving data while protecting privacy.

A new model enhances short-term rainfall forecasting accuracy.

How automated vehicles are changing traffic behavior and management.

ADVENT detects attacks in VANETs, ensuring safer transportation through efficient real-time monitoring.

SpecSTG improves traffic predictions by integrating spatial and temporal data.

Examining the efficiency and fairness in real-time vehicle task assignment.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

A look into time slot allocation and its effects on train competition.

Learn how quantum computing aids eco-friendly fleet transitions.

A new deep learning model improves flight passenger traffic predictions for airlines.

Examining how electric ride-hailing drivers manage pick-ups and charging decisions.

Exploring the lessons from Physarum polycephalum for modern network optimization.

Enhancing road safety and efficiency through improved vehicle communication systems.

A new model improves accuracy and adaptability in traffic flow and travel time estimation.

Survey reveals mixed opinions on AI's efficiency and fairness in transportation.

Foundation models are transforming the future of autonomous driving technology.

The STDDE model enhances traffic predictions by incorporating delay and continuous changes.

Using transportation data to detect infectious diseases early in Brazil.

A study on finding efficient curves to cover specific areas.

DroneCAST aims to enhance communication in urban air mobility for drones.

Exploring the use of LLMs to analyze time series data across various fields.

RUMBoost merges utility models and machine learning for improved travel choice predictions.

A practical guide to using spline approximation for data analysis and outlier management.

A project aims to automate train delay code classification using machine learning.

A study identifies ideal spots for bike stations in Malaga to promote cycling.

This article discusses reducing skin friction drag using opposition control in turbulent flows.

Explores the implementation of AI in optimizing autonomous vehicle services.

This article explores the benefits of Active RIS in ISAC systems.

A new method enhances control of nonlinear systems with changing parameters.

Mapping and monitoring scaffolding to improve urban life in NYC.

Exploring the Diffusion-ES technique for improved self-driving car navigation.

Exploring the potential of eVTOL vehicles in managing urban transportation challenges.

A framework to improve information updates while managing power in vehicular networks.

A fresh approach to assess railway junction capacities without relying on timetables.

New filtering methods enhance object tracking for various applications.

A new approach to optimize vehicle routing using reinforcement learning.