A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects

no code implementations • 3 Sep 2023 • Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan

An emerging research area within these services is service Route\&Time Prediction (RTP), which aims to estimate the future service route as well as the arrival time of a given worker.

DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction

1 code implementation • 30 Jul 2023 • Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin

Deep neural networks based on supervised learning have emerged as the dominant model for the task because of their powerful ability to capture workers' behavior patterns from massive historical data.

reinforcement-learning Reinforcement Learning (RL)

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry

no code implementations • 19 Jun 2023 • Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zhen, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan

In this paper, we introduce \texttt{LaDe}, the first publicly available last-mile delivery dataset with millions of packages from the industry.

Management