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title: Computational Intelligence for Traffic and Mobility
Soft Computing Tools to Predict Progression of Percent Embedment of Aggregates in Chip Seals
In this study, soft computing and multilinear regression techniques were employed to develop models for prediction of progression of
...Smart Mobility in der Praxis: Das Auto – unverzichtbar für den intermodalen Verkehr?
Smart Mobility in der Praxis: Das Auto – unverzichtbar für den intermodalen Verkehr?
Intelligent Traffic System for Sustainable Mobility
Artificial Intelligence Traffic Analysis Framework for Smart Cities
Efficient and fair traffic flow management for on-demand air mobility
Dynamic Traffic Flow to Promote Sustainable Mobility
Dynamic traffic flow is one of the main challenges for a state or country after a city is created. Since the
...Internet of Vehicles – System of Systems Distributed Intelligence for Mobility Applications
Urban Traffic Monitoring from Mobility Data
AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility
Artificial Intelligence and Forecasting of Traffic Accidents Using GIS
Smart Mobility : Trends, Konzepte, Best Practices für die intelligente Mobilität
Smart Mobility : Trends, Konzepte, Best Practices für die intelligente Mobilität
Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic
Applications of Multi-Source Traffic Data on Mobility Analysis for Urban Road Network
Mobility analysis for road network is a critical foundation for urban traffic operation and management. Multi
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V2I-Based Intelligent Mobility Data Fusion for Self-Adaptive Traffic Signal Control
A Multi-Criteria Clustering Method for UAS Traffic Management and Urban Air Mobility
Bausteine Intelligenter Mobilität (BIM)