The International Journal of Automotive Research (IJAR) is a peer-reviewed platform committed to publishing high-impact research that advances scientific understanding and technological innovation in the global automotive and mobility sector. IJAR emphasizes the integration of traditional automotive engineering with cutting-edge developments in Information Technology (IT), automation, and intelligent systems to address the evolving needs of future mobility.
Key Areas of Focus:
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Powertrain and Propulsion Systems
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Advanced internal combustion engines
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Electrification: batteries, hybrid, and fuel cell systems
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Intelligent thermal and energy management systems
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Digital twin and simulation in propulsion systems
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Vehicle Design, Manufacturing, and Automation
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Computer-aided design, engineering, and manufacturing (CAD/CAE/CAM)
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Robotics and automation in assembly and quality control
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Cyber-physical systems and smart manufacturing (Industry 4.0)
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Additive manufacturing and digital prototyping
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Autonomous, Connected, and Smart Vehicles
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AI-driven autonomous navigation and control systems
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Sensor fusion, perception, and machine learning applications
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Vehicle-to-everything (V2X) and 5G-based connectivity
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Real-time data processing and edge computing in vehicles
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Electrification and IT-Enabled Energy Systems
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Battery management systems and smart charging networks
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Energy storage analytics and predictive maintenance
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Vehicle-to-grid (V2G) communication and load balancing
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Software-defined powertrain architecture
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Automotive Software, Cybersecurity, and Embedded Systems
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Software development for in-vehicle systems and ECUs
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Cybersecurity frameworks for connected and autonomous vehicles
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Functional safety (ISO 26262) and over-the-air (OTA) updates
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Model-based systems engineering (MBSE)
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Mobility Systems, Automation, and IT Integration
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Mobility-as-a-Service (MaaS) platforms and digital ecosystems
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Real-time traffic optimization and AI-based transport analytics
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Intelligent transportation systems (ITS) and automation in logistics
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Human-machine interaction (HMI) and augmented interfaces
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Vehicle Dynamics, Safety, and AI-enhanced Testing
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Smart suspension and braking control systems
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Advanced driver assistance systems (ADAS)
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Virtual testing, scenario simulation, and digital homologation
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AI-enhanced crash prediction and NVH analysis
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Sustainability, Regulations, and Policy
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Emission control technologies and digital compliance monitoring
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Environmental impact assessment using big data
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Circular economy strategies and material traceability
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Data-driven policy evaluation for smart mobility
Interdisciplinary Emphasis:
IJAR promotes interdisciplinary research at the intersection of automotive engineering, IT, automation, electronics, materials science, artificial intelligence, and public policy. Submissions that incorporate digital transformation, data science, and automation technologies are especially encouraged.
Target Audience:
Researchers, engineers, software developers, systems architects, policymakers, and professionals working in automotive R&D, manufacturing, mobility services, and digital innovation.
41Indian Institute of Technology...
Impact factor 3.4
