Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach

We used semi-supervised techniques to detect traffic incident trajectories from the cameras. Our proposed approach for trajectory classification is based on semi-supervised parameter estimation using maximum-likelihood (ML) estimation. Results show that approximately 14% improvement in trajectory classification can be achieved using the proposed approach compared to baseline algorithms.

Public Opinion Analysis of Transportation Policy using Social Media Data: Case Study on the Delhi Odd-Even Policy

This paper used Twitter data to extract sentiments of people during the Phase 1 and Phase 2 of the odd-even policy implemented by the Delhi government to curb the air pollution and improve traffic flow. Public sentiments were found to mostly turn negative during the later stage of the Phase 2 which indicates fading away of the public enthusiasm and positiveness towards the policy during the later stages of the policy implementation.