Call for proposals is live now for NAVAGATI 2026. Abstract / full-paper deadline: 5 November 2026. Hybrid conference: attend ONLINE or OFFLINE. Submit your proposal

Declaration of conference themes

Conference Themes

Original contributions are invited under six major themes, each with six focused sub-themes. Flagship sub-themes are marked in gold.

Animated smart intersection
T1

AI for Intelligent Transportation, Traffic & Urban Mobility

  • ITS architectures, real-time analytics and data-driven transportation planning
  • Traffic flow prediction, congestion mitigation and dynamic traffic assignment
  • Adaptive signal control and intelligent intersection management
  • Incident detection, road-hazard sensing and intelligent emergency response
  • Smart parking, shared and micro-mobility, and Mobility-as-a-Service
  • Urban mobility digital twins and large-scale traffic simulation for smart cities
Animated autonomous electric vehicle
T2

AI for Autonomous, Connected & Electric Vehicles

  • Perception and sensor fusion: LiDAR, RADAR, camera and scene understanding
  • Motion planning, trajectory optimization and autonomous decision-making
  • V2V, V2I and V2X connectivity for cooperative and automated driving
  • EV energy management, battery health prognostics and thermal management
  • Charging infrastructure optimization and Vehicle-to-Grid integration
  • Functional safety, driver-state monitoring and human factors in automation
Animated train and bridge monitoring
T3

AI for Public Transportation, Railways & Infrastructure

  • Transit demand forecasting, passenger flow analysis and schedule optimization
  • Railway traffic management, intelligent signalling and autonomous train operation
  • Energy-efficient train operation and AI-enabled transit fleet management
  • Vision-based inspection of tracks, pavements and road-surface condition
  • Structural health monitoring of bridges and automated asset inspection
  • Predictive maintenance and life-cycle management of smart highways and rail assets
Animated warehouse and delivery drone
T4

AI for Logistics, Warehouse, Freight & Supply-Chain Mobility

  • Freight demand forecasting and intelligent supply-chain optimization
  • Vehicle routing, dispatch and last-mile delivery optimization
  • Warehouse robotics, automated material handling and inventory intelligence
  • Autonomous delivery vehicles, mobile robots and drone-based logistics
  • Cold-chain, intermodal and cross-border freight intelligence
  • Multi-agent coordination and digital twins for logistics networks
Animated radar with aircraft and vessel
T5

AI for Aviation, Airports, Maritime & Emerging Mobility

  • Air traffic management, airspace operations and aviation safety analytics
  • Flight trajectory optimization and aircraft predictive maintenance
  • Airport ground handling, passenger processing and turnaround optimization
  • UAV navigation, drone traffic management and Urban / Advanced Air Mobility
  • Autonomous vessels, maritime route optimization and collision avoidance
  • Smart ports, vessel traffic services and next-generation mobility concepts
Animated neural network with GPU
T6

Advanced AI, Sustainable, Safe & Resilient Mobility

  • Generative AI, LLMs and vision-language foundation models for mobility
  • Reinforcement learning, multi-agent systems and large-scale optimization
  • Flagship: High-Performance Computing, GPU-accelerated AI and exascale simulation for mobility
  • Flagship: Green, low-carbon and climate-resilient mobility: emissions modelling, sustainability and disaster-ready transportation
  • Cybersecurity, privacy-preserving analytics and federated learning for connected mobility
  • Trustworthy, explainable and human-centred AI: policy, standards and societal impact

Note: Sub-themes T6.3 (High-Performance Computing) and T6.4 (Green, Low-Carbon and Climate-Resilient Mobility) are flagship tracks. Each one has a dedicated sponsored session, a keynote and a student paper award. Submissions spanning several themes are welcome and will be routed to the most appropriate track.