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title: Computational Intelligence for Traffic and Mobility
Novel Soft-Computing Approach to Better Predict Flexible Pavement Roughness
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
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Standards und Normen für die Mobilität der Zukunft
Computational Intelligence in Highway Management: A Review
Efficient and fair traffic flow management for on-demand air mobility
Electric vertical takeoff and landing vehicles are becoming promising for on-demand air transportation in urban air mobility (UAM
...A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies
Towards user-centric, market-driven mobility management of road traffic using permit-based schemes
Gesellschaftliche Dialog- und Beteiligungsstrategie zur Gestaltung Digitalisierter Mobilität
Multi‐level thinking cellular automata using granular computing title
Multi-level thinking cellular automata using granular computing title
Toward More Effective Transportation Applications of Computational Intelligence Paradigms
Computational Issues in Micro-Genetic Algorithms for Traffic Management
Crowd intelligence for sustainable futuristic intelligent transportation system: a review
Crowd intelligence for sustainable futuristic intelligent transportation system: a review