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2025 9th International Conference on Intelligent Traffic and Transportation is the premier forum for the presentation of technological advances and research results in the fields of intelligent traffic and transportation. The conference is soliciting state-of-the-art research papers in the following areas of interest:
Track 1: Intelligent Traffic and Transportation
Traveling Salesman and Vehicle Routing Problems
Environmentally Friendly Mobility Planning
Last-mile
Logistics
Quantum Simulation for Complex Logistic Problems
Traffic Flow Optimization Problems
Industrial Problems in the
Logistic Chain (Bin Packing Problem, Job Shop Scheduling...)
Flight Optimization Problem
Air Traffic Management Modeling,
Simulation, and Decision-making Support
(Air Traffic Control; Air Traffic Flow Management; Airspace
Design, Management, and Capacity-complexity Assessment; Unmanned
Aircraft Systems (UAS) and Drones'
Integration; Spacecraft and Balloons Activities Safe
Integration; Conflict Detectionand Resolution; Trajectory
Prediction under Uncertainty)
Travel Behavior Modeling
Behavioral Modeling and Interpretation
Fleet Optimization
Traffic Flow Modeling
Transit Operations
Modeling
Approaches for Mixed Traffic
Track 2: Intelligent Automation, and ICT-Enabled
Collaborative Traffic Systems
Improvements in the
Public Transportation Network
Connected, Cooperative and
Autonomous Driving Systems
Autonomous Vehicles
V2X
Communication In ITS
Vehicle Localization, Object Tracking,
and Navigation
Measuring and Quantifying
Reliability/Robustness of Public Transportation Systems
Public Transportation Planning under Uncertainty, e.g.,
Reliable/Robust Network (Line) Planning, Frequency Setting,
Timetabling, Transfer Synchronization, Rolling Stock / Crew
Scheduling and Rostering
Intelligent Real-Time Public
Transport Control and Operational Management (Bus Bunching,
Stop-Skipping, Vehicle Holding, Transfer Coordination,
Corrective Actions)
Network Theory Applications in Public
Transport
Autonomous Connected Vehicles
Intelligent
Sensing for Autonomous Vehicles and ITS
Intelligent Sensing
for Traffic Control and Management
Datasets for Autonomous
Vehicles and ITS
Connected and Automated Vehicles
Cooperative Driving Technologies
Track 3: Traffic Safety and Management in Smart
Cities
Attack Detection or Fake Scenario Detection
for SCSU-ITS
Casual Inference for SCSU-ITS
Fault Detection
and Prediction in Various Transport Carriers
Traffic Accident
or Anomaly Detection or Prediction
Communication Failure
Detection and Prevention in Connected Vehicles
Object
Detection, Re-Identification, Tracking, Trajectory or Location
Prediction in SCSU-ITS
Efficient Management of Vehicle Fleets
Cybersecurity in the Aviation Domain
Modeling and Simulation
Applied for Aviation Safety, Security, and Crisis Management
Deep Learning & XAI Methods for Traffic Management
Optimization Methods for Traffic Management
Assessment and
Evaluation of the Public Transport Reliability
Public
Transport Scheduling in the Era of Mobility-as-a-Service
Connected and Autonomous Public Transport Planning and
Operations
Development of Safe and Secure Cooperative-ITS
(C-ITS) Services for Traffic Management
Analysis of the
Impact of C-ITS in Mixed Traffic Flow
Benefits of C-ITS for
Road Safety and Traffic Efficiency
Management of Incidents
and Evacuation
Ports, Waterways, and Vessel Traffic
Management
Track 4: Transportation Infrastructure and
Construction
Road Damage Detection and Prediction
Design of Transportation Facilities
Smart Road Infrastructure
Modeling and Detection of Vulnerable Road
Advanced
Transportation Safety Systems
AI, Machine Learning and Deep
Learning for ITS
Behavioral Modeling in ITS
Public Policy,
Regulatory and Societal Issues in ITS