Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
准确、及时的交通流量预测对许多智能交通系统至关重要。如在交通管理和控制、交通网络设计和个人交通规划上都有巨大的应用价值。在交通管理和控制系统中，它不仅可以缓解交通拥堵，减少碳排放，还能确保交通运营的效率。良好的预测结果可以帮助旅行者选择合适的出行路线，从而让个人进行更好的交通规划，以节省时间，避免交通拥堵。因此，利用人工智能技术来开发一种有效的交通流量… Official track: 数据挖掘. Sponsor: 北京林业大学. Teams entered: 218.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Jun 16, 2022