Sebastian Wandelt
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多式联运与交通可达性

AI通过大数据分析和预测模型,优化多式联运(如公交、地铁、共享单车)的接驳方案,提高出行效率。智能算法结合实时交通数据,动态调整路线和时刻表,减少拥堵。机器学习评估可达性,识别交通盲区,为城市规划提供数据支持,促进绿色出行和交通公平。

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Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

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School/Department:电子信息工程学院

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Contact Information:82338306

Degree:Doctoral degree

Status:Employed

Alma Mater:汉堡工业大学

Discipline:Computer Science and Technology
Transportation Engineering

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