Latest Articles for Transportation

A look at integrating Deep Reinforcement Learning in UAV systems for better performance and safety.

Research offers insights into motion sickness and its individual differences in drivers and passengers.

A new method improves how self-driving cars detect objects using LiDAR.

A new method enhances the accuracy of mobile positioning in complex settings.

PyVRP offers efficient solutions for complex vehicle routing challenges.

Walking and cycling are reshaping urban transportation for healthier cities.

Examining the digital infrastructure needed for connected and automated vehicles.

Addressing inequalities in ride-hailing through better demand prediction and vehicle allocation.

Sharing knowledge among AVs enhances their ability to adapt to different driving situations.

A new system enables fast processing of temporal graphs on single machines.

Examining how transportation affects Ebola spread during outbreaks.

This article discusses improving electric bus operations and charging strategies.

Examining how drones and trucks reshape delivery methods for efficiency.

Utilizing deep reinforcement learning to enhance truck delivery efficiency.

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.