• Examining the Impact of Weather, Temporal Factors, and User Traits on Multimodal Shared Micromobility Systems in Non-Urban Campus Environments: The MORE Sharing Case Study
  • Autonomous Driving Validation and Verification Using Digital Twins
  • Bayesian Network for Analysis and Prediction of Traffic Congestion Using the Accident Data
  • Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier Detection
  • Performance Metric for Horn and Brake Automation on Mainline Trains
  • Muli-Quay Combined Berth and Quay Crane Allocation Using the Cuckoo Search Algorithm
  • Protocol Interoperability for Intelligent Transportation Systems
  • Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling
  • Performance Evaluation of a ROS2 Based Automated Driving System
  • Real-Time Lane Departure Detection Using Google Routes
  • Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers
  • History-Based Road Traffic Anomaly Detection Using Deep Learning and Real-World Data
  • Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach
  • Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition
  • Improve Bounding Box in Carla Simulator
  • Assessing Trustworthiness of V2X Messages: A Cooperative Trust Model Against CAM- and CPM-Based Ghost Vehicles in IoV
  • Traffic State Estimation on Urban Roads Using Perception-Enriched Floating Car Data
  • Human Centric Intersection Crossing Control Using C-ITS Information
  • Multi-Layer Energy Management System for Cost Optimization of Battery Electric Vehicle Fleets
  • Lifelong Dynamic Timed A* (LTA*) for Fastest Path Retrieval in Congested Road Networks Using Predicted Speeds
  • Making Radar Detections Safe for Autonomous Driving: A Review
  • How Should I Measure Vehicle Deformation Depth?
  • A Qualitative Review of Full Sized Autonomous Racing Vehicle Sensors: A Case Study
  • Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach
  • Enhancing Individual Mobility: A Multistage Personalization Approach for Itinerary Planning in Multimodal Networks
  • Optimal Velocity Model Based CACC Controller for Urban Scenarios
  • CARISMA: CAR-Integrated Service Mesh Architecture
  • Optimizing Traffic Adaptive Signal Control: A Multi-Objective Simulation-Based Approach for Enhanced Transportation Efficiency
  • Personalisation in Mobility-as-a-Service: Where We Are and How to Move Forward
  • Real-Time Traffic Prediction Through Stochastic Gradient Descent
  • Bus Routing Optimisation: A Case Study for the Toulouse Metropolitan Area
  • Introducing Scaled Model Development to on-Sight Automatic Train Operation
  • Multi-Pedestrian Tracking and Map-Based Intention Estimation for Autonomous Driving Scenario
  • Knowledge-Based Approach to Generate Scenarios for Testing Highly Automated On-Sight Train Operations
  • Connected Vehicle Perception Monitoring: A Runtime Verification Approach for Enhanced Autonomous Driving Safety
  • What Is the Right Bounding Box of a VRU Cluster in V2X Communication? How to Form a Good Shape?
  • Spatial Performance Indicators to Evaluate Spatiotemporal Traffic Prediction
  • Archetypes of Carsharing Relocation Algorithms: A Perspective on Problem Space, Solution Space and Evaluation
  • Beep, Bleep, Oops! A Discussion on the Misuse of Advanced Driver Assistance Systems (ADAS) and the Path Moving Forward
  • Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case
  • Heuristic Optimal Meeting Point Algorithm for Car-Sharing in Large Multimodal Road Networks
  • Dynamic Prices in Ride-Sharing Scenarios
  • A Prototype Preceding Vehicle Identification System Development and Field Evaluation
  • Study of Track Segmentation for Lap Time Optimization
  • Modelling Implicit and Explicit Communication Between Road Users from a Non-Cooperative Game-Theoretic Perspective: An Exploratory Study
  • Geographical Self-Organizing Map Clustering in Large-Scale Urban Networks for Perimeter Control
  • Using V2X-Information for Trajectory Prediction at Urban Intersections
  • Overview of Publicly-Available Data Sources on Road Traffic Accidents in Russia
  • Introducing Flowride® Logger, an Onboard Data Collection Framework for Commercial Automated Vehicles
  • Efficient Real-Time Obstacle Avoidance Using Multi-Objective Nonlinear Model Predictive Control and Semi-Smooth Newton Method
  • Towards Scenario Retrieval of Real Driving Data with Large Vision-Language Models
  • Challenges of Remote Driving on Public Roads Using 5G Public Networks
  • Infrastructure-Based Communication Trust Model for Intelligent Transportation Systems
  • Parameter Adjustments in POMDP-Based Trajectory Planning for Unsignalized Intersections
  • VRU-Net: Convolutional Neural Networks-Based Detection of Vulnerable Road Users
  • Hidden Champions Revised: Towards a New Conceptual Framework
  • Enhancing Returns Management in Fashion E-Commerce: Industry Insights on AI-Based Prediction and Recommendation Systems
  • Comparative Analysis of Machine Learning Techniques for DDoS Intrusion Detection in IoT Environments
  • Artificial Neural Network Model for Predicting Excavator Downtime
  • Framework for Modeling the Propagation of Disturbances in Smart Construction Sites
  • Sentiment Analysis-Based Chatbot System to Enhance Customer Satisfaction in Technical Support Complaints Service for Telecommunications Companies
  • Business-RAG: Information Extraction for Business Insights
  • Speech Recognition for Inventory Management in Small Businesses
  • Classification of Peruvian Elementary School Students with Low Achievement Problems Using Clustering Algorithms and ERCE Evaluation
  • Exploring the Test Driven Development of a Big Data Infrastructure Examining Gun Violence Incidents in the United States of America
  • Roadmap for Implementing Business Intelligence Systems in Higher Education Institutions: Validation of a Case Study at the University of Trás-os-Montes and Alto Douro
  • A Bibliometric Analysis of Green Accounting, Environmental Accounting and Green Business Publications in a Global Perspective
  • Process Mining Enabled Cognitive RPA to Automate Data Entry Tasks in ERP Systems
  • A Systematic Review to Identify Patterns Types and Analysis Objectives for the Discovery of Business Rules from Event Logs Using Machine Learning
  • Gathering and Matching Data from the Web: The Bibliographic Data Collection Case Study
  • Computing: Looking Back and Moving Forward