Technical Description
This invention helps estimate how long vehicles will take to reach their destination by learning from previous journeys and movement trends. It considers changes across different roads and times to provide more reliable arrival estimates, supporting smoother travel, better planning, and improved transport services in busy areas.
Problems Addressed
- Travel Time Prediction
- Mixed Traffic
- Mobility Planning
- Computational Efficiency
- Temporal Dependency
Tech Features
- Next-Instance Prediction
- Davies-Bouldin Score
- Spatial Variation
- Route Segmentation
- Temporal Variation
- K-Means Clustering
Target Audience
- Logistics & Supply Chain Industry
- Artificial Intelligence Industry
- Public Transportation Industry
- Fleet Management Industry
- Machine Learning Industry
- Cab Service Providers Sector
Tech ID: P18-2125 TRL 5 Patent Status: Granted Available For Exclusive and Non-exclusive License
