Utilizing magnetic sensors for vehicle tracking offers a cost-effective and efficient solution for traffic surveillance.
Rideshare platforms like Uber face challenges in balancing driver satisfaction and revenue maximization. Implementing the Gale-Shapley algorithm can enhance equity for drivers while maintaining system efficiency.
Optimizing driver revenue and equity in ridesharing platforms through algorithm design.
SKoPe3Dは、ITSのための合成車両キーポイントデータセットであり、交通監視カメラからの3D認識を可能にします。
SKoPe3D introduces a synthetic dataset for vehicle keypoint perception in 3D, addressing challenges in traffic monitoring.
The author presents a vehicle re-identification method based on flock similarity to improve accuracy and efficiency in monitoring systems.