Announcements

Announcing KDD Cup 2017: Highway Tollgates Traffic Flow Prediction

Detailed information can now be found on the KDD Cup 2017 website.

A team from Alibaba Cloud, the cloud computing arm of Alibaba Group, has been selected to organize the KDD Cup 2017 among a number of teams that submitted promising and strong proposals. This year’s competition titled “Highway Tollgates Traffic Flow Prediction” seeks to empower traffic management authorities with data-driven preemptive measures and to pave the way towards holistic and realistic solution to traffic bottlenecks.

“Harnessing advanced data technologies to resolve real-world issues across all sectors is a key component of Alibaba Cloud’s mission. In the transportation field, we have developed pioneering capabilities which provide real-time traffic prediction and recommendations on travel routes in China. It is our honour to host the KDD cup this year and we look forward to collaborating with talents worldwide to address traffic congestion challenges”, said Dr. Wanli Min, Data and AI Scientist at Alibaba Cloud.

Congratulations to the KDD Cup 2017 organizers from Alibaba Cloud: Yu Liu, Wanli Min, Kuan Song, Xichun Tian, Jiawei Wang, Shuang Wu, Yiting Wang, Liang Yu, and Xinfa Yan!

Results

The 2017 KDD Cup on “Highway Tollgates Traffic Flow Prediction” has successfully reached its end. A total of 3547 teams from around the world participated throughout the duration of the competition.

After rigorous cross-checking of the submissions to ensure compliance with the participation rules, the winners of the two sub-competitions (Travel Time & Traffic Volume Prediction) have been determined. Congratulations to the winning teams!

Task 1. Travel Time Prediction

1st place: Convolution

Team Members:

  • Ke Hu, Microsoft(China) Co., Ltd. (Team Leader)
  • Huan Chen, Beihang University
  • Pan Huang, Microsoft(China) Co., Ltd.
  • Peng Yan, Meituan-Dianping Co., Ltd.

2nd place:

Chinese Team Name: 好想有个队友 (Pinyin: Haoxiangyougeduiyou)
English Team Name: Longing for a Teammate
Team Member:

  • Huang Yide, Zhejiang University

3rd place:

Chinese Team Name: 一个师的兵力 (Pinyin: Yigeshidebingli)

English Team Name: Warriors

Team Members:

  • Hengxing Cai, Sun Yat-sen University, Guangdong Key Laboratory of Intelligent Transportation Systems (Team Leader)
  • Runxing Zhong, Beihang University
  • Chaohe Wang, Southwest Jiaotong University, Intel
  • Ruihuan Zhou, Southwest Jiaotong University
  • Kejie Zhou, University of Chinese Academy of Sciences
  • Hongyun Lee, University of Chinese Academy of Sciences
  • Kele Xu, National University of Defense Technology
  • Zhifeng Gao, Peking University
  • Renxin Zhong, Sun Yat-sen University, Guangdong Key Laboratory of Intelligent Transportation Systems
  • Jiachen Luo, Sun Yat-sen University, Guangdong Key Laboratory of Intelligent Transportation Systems
  • Yao Zhou, Chongqing University of Posts and Telecommunications, Tencent
  • Ming Ding, Beijing China-Power Information Technology Co. Ltd
  • Lang Li, ChinaTelecom Bestpay Co. Ltd
  • Qiang Li, Fudan University
  • Da Li, Beihang University
  • Nan Jiang, Beihang University
  • Xu Cheng, China Mobile Communications Corporation
  • Shiwen Cui, Harbin Engineering University
  • Hongfei Ye, Shanghai Jiao Tong University
  • Jiawei Shen, Shanghai China-Cubee Information Technology Co. Ltd

Task 2. Volume Prediction

1st place: Convolution

Team Members:

  • Ke Hu, Microsoft(China) Co., Ltd. (Team Leader)
  • Huan Chen, Beihang University
  • Pan Huang, Microsoft(China) Co., Ltd.
  • Peng Yan, Meituan-Dianping Co., Ltd.

2nd place: Black-Swan

Team Members:

  • Yitian Chen, JD.COM (Team Leader)
  • Jie Zhou, East China Normal University
  • Jie Lin, Nanjing University of Science and Technology
  • Hao Lin, Tencent
  • Yang Guo, JD.COM

3rd place:

Chinese Team Name: 成交量遥遥领先 (Pinyin: Chengjiaoliangyaoyaolingxian)

English Team Name: CarTrailBlazer

Team Member:

  • Suiqian Luo, Guazi.com

A workshop about this year’s competition will be held on August 16, in parallel to the main sessions of KDD. The winning teams will present their approaches and there will also be invited talks from reputable researchers working on transportation engineering. Stay tuned for more details!

For all questions regarding the competition please visit KDD Cup Forum or send an email to kddcup2017@service.alibaba.com.