2026年7月17日，第三届城市建设与交通运输国际学术会议（UCT 2026）以线上形式成功召开。本次会议由内蒙古大学、瑞士信息与管理学院（SIMI）提供支持，汇聚了来自中国、马来西亚等多国高校及科研院所的专家学者，围绕城市建设与交通运输领域的交叉议题展开了深入的学术交流。

On July 17, 2026, the 2026 3rd International Conference on Urban Construction and Transportation (UCT 2026) was successfully held online. The conference was supported by Inner Mongolia University and the Swiss Institute of Management and Innovation (SIMI), bringing together experts and scholars from universities and research institutions across China, Malaysia, and other countries to engage in in-depth academic exchanges on interdisciplinary topics in urban construction and transportation.

开幕与主旨报告

Opening and Keynote Speeches

会议于当日下午正式开幕。共邀请3位知名专家作主旨报告，涵盖智能网联交通、商用车安全监测、电动汽车充电预测等前沿方向。

The conference officially opened on the afternoon of July 17, featuring three distinguished experts who delivered keynote speeches on cutting-edge topics including intelligent connected transportation, commercial vehicle safety monitoring, and EV charging demand forecasting.

第一位主旨报告嘉宾：丁川教授，北京航空航天大学

丁川教授主要从事道路交通系统建模与运行调控研究。他的报告题目为《异智交通环境多车协同行驶技术》。针对混合自主交通环境中不同自动化等级车辆在感知和决策能力上的显著差异，丁教授团队提出了合作异质强化学习（CHRL）框架，框架中集成了一个虚拟感知生成模块，利用图注意力机制，借助高级别网联自动驾驶车辆的观测信息，为能力较弱的网联智能车辆补充环境感知能力，有效缓解了部分可观测性所带来的不确定性。

The first keynote speaker: Prof. Chuan Ding, Beihang University

Prof. Ding primarily conducts research on road traffic system modeling and operational control. His speech was titled Multi-Vehicle Cooperative Driving Technology in Heterogeneous Intelligent Traffic Environments. To address the significant disparities in perception and decision-making capabilities among vehicles with varying automation levels in mixed-autonomy traffic environments, Prof. Ding's team proposed the Cooperative Heterogeneous Reinforcement Learning (CHRL) framework. The framework integrates a virtual perception generation module that leverages a graph attention mechanism to supplement environmental awareness for less-capable connected and intelligent vehicles using observational data from high-level connected and autonomous vehicles, effectively mitigating uncertainties caused by partial observability.

第二位主旨报告嘉宾：黄彩萍副教授，马来西亚国防大学

黄彩萍副教授是马来西亚国防大学土木工程系副教授，在公路与交通工程、道路安全等领域拥有超过二十年的研究经验。她的报告题目为《从追踪到预防：人工智能赋能车辆遥测技术，推动商用车安全转型》。针对马来西亚商用车辆交通事故频发、现有遥测系统侧重于事后分析而缺乏实时风险评估能力的现状，黄教授团队开发了车辆遥测预警系统（VTAS）。该系统融合多源车辆数据与人工智能技术，可识别危险驾驶行为、检测潜在风险并在事故发生前发出实时预警。

The second keynote speaker: Assoc. Prof. Ts. Dr. Ng Choy Peng, National Defence University of Malaysia

Assoc. Prof. Ng Choy Peng is an Associate Professor in the Department of Civil Engineering at the National Defence University of Malaysia, with over two decades of research experience in highway and transportation engineering and road safety. Her speech was titled From Tracking to Prevention: Transforming Commercial Vehicle Safety with AI-Powered Vehicle Telemetry. In response to the frequent traffic accidents involving commercial vehicles in Malaysia and the limitations of existing telemetry systems that focus on post-accident analysis without real-time risk assessment capabilities, Prof. Ng's team developed the Vehicle Telemetry Alert System (VTAS). The system integrates multi-source vehicle data with artificial intelligence technologies to identify risky driving behaviors, detect emerging hazards, and generate real-time alerts prior to the occurrence of traffic accidents.

第三位主旨报告嘉宾：李多教授，华中科技大学

李多教授主要研究领域包括交通感知与控制、智能交通系统、交通系统韧性等。他的报告题目为《从精准预测到韧性预测：面向网络攻击的EV充电需求预测研究》。针对电动汽车充电需求预测可能遭受网络攻击的隐患，李教授团队提出了一种生成式多任务自监督学习框架GenS2-P，融合去噪/重构自编码器与时空预测模型，有效应对数据投毒攻击和拒绝服务攻击。

The third keynote speaker: Prof. Duo Li, Huazhong University of Science and Technology

Prof. Li's main research areas include transportation perception and control, intelligent transportation systems, and transportation system resilience. His speech was titled Generative Self-Supervised Learning for Cyberattack-Resilient EV Charging Demand Forecasting. In response to the vulnerability of EV charging demand forecasting to cyberattacks, Prof. Li's team proposed a generative multi-task self-supervised learning framework called GenS2-P, which integrates a denoising/reconstruction autoencoder with a spatio-temporal prediction model to effectively counter data poisoning attacks and denial-of-service attacks.

口头报告与海报展示

Oral Presentations and Poster Display

来自西安建筑科技大学、南京工业大学等高校的15位青年学者就城市建设与交通运输主题带来精彩的口头报告分享，展现行业青年学者的优秀研究成果。同时进行了3位学者的海报展示。

Fifteen early-career researchers from institutions including Xi'an University of Architecture and Technology and Nanjing Tech University delivered insightful oral presentations on topics related to urban construction and transportation, showcasing outstanding research achievements of young scholars in the field. Three poster presentations were also featured during the conference.

本次会议的成功举办，为城市建设与交通运输领域的学者和行业专家搭建了高水平的国际学术交流平台，展示了该领域在智能交通、车联网安全、充电基础设施管理等方向的最新研究进展，促进了学术界与产业界的沟通合作。期待下一届UCT会议再聚首，共同推动城市建设与交通运输领域的创新与可持续发展！

The successful convening of this conference established a high-level international academic exchange platform for scholars and industry experts in the fields of urban construction and transportation, showcasing the latest research advances in intelligent transportation, connected vehicle security, charging infrastructure management, and other related areas, while promoting communication and collaboration between academia and industry. We look forward to reuniting at the next UCT conference to jointly promote innovation and sustainable development in urban construction and transportation!