AFTER

Call For Papers

The ICTLAI emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Transportation And Logistics With Artificial Intelligence are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

AI applications in transportation logistics
Smart traffic management systems
Predictive analytics for supply chain
Autonomous vehicles and AI integration
AI-driven route optimization techniques
Sustainability in transportation logistics
Machine learning for freight management
Data analytics for urban mobility
AI in public transportation systems
Impact of AI on logistics efficiency
Real-time tracking with AI technologies
AI solutions for last-mile delivery
Challenges in AI adoption in logistics
AI and big data in transportation
Safety and security in AI logistics
AI-enhanced customer service in transport
Collaborative logistics using AI tools
AI for predictive maintenance in transport
Ethical implications of AI in logistics
Future trends in AI transportation solutions

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.