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Master Student Ahmad Yehia Successfully Defends 硕士研究生Ahmad Yehia顺利通过答辩

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Student introduction/学生介绍:

Ahmad Yehia, a graduate of the Master of Science (MSc) in Transportation Engineering, started his study in September 2019 at Jiading Campus of Tongji University, from Egypt.

留学生Ahmad Yehia,于2019年9月入学同济大学,就读交通运输工程专业,硕士学位,国籍为埃及。

 

Campus Experience/校园生活:

Ahmad said “I can’t forget the first time I landed on the campus it is unforgettable, the moment I saw green gardens and amazing buildings is still stuck in my memory. The campus life was pretty great, starting with my friendly and supportive research group, moving forward to my preferable mediation time looking at the sky after reading my favourite books along the university lake before nightfall. In general, those days significantly influenced the formation of my character and I wish to be there again.”

Ahmad回忆道,他至今无法忘记第一次来到校园的情景,看到春意盎然的花园和令人惊叹的建筑那一刻仍然留在他的记忆中。校园生活非常精彩,从互帮互助的课题组,到夜幕降临时在湖边的冥想与阅读。那些时光对他性格的形成产生了深远影响,他非常希望能够再次回到校园。

Figure 1: Ahmad's first meeting with his supervisor, Prof. Wang, and other international students, on 10th Sept 2019. College of Transportation Engineering, Jiading Campus, Tongji University.

图1:2019年9月10日,Ahmad(右二)与导师王雪松教授以及其他留学生的第一次见面,合影于同济大学嘉定校区交通运输工程学院

 


Figure 2: Group photo of the 2020 annual group meeting, on 18th Jan 2020.College of Transportation Engineering, Jiading Campus, Tongji University.
图2:2020年1月18日,2020年团队年度会议,合影于同济大学嘉定校区交通运输工程学院

 

Figure 3: 2020 annual meeting gathering dinner, on 18th Jan 2020. Shanghai, China.
图3:2020年1月18日,2020年团队年会聚餐于中国上海

 

Thesis Defense/毕业论文答辩:

On 29 April 2022, Ahmad presented his Master’s Thesis for “Develop A Robust Real-time Crash Risk Prediction Model”, supervised by Professor Xuesong Wang.

在王雪松教授的指导下,2022年4月29日Ahmad进行了硕士论文答辩,论文为“构建稳健的实时事故风险预模型”。

Figure 4: Ahmad was presenting his Master’s thesis via an online meeting, on 29th April 2022.
图4:2022年4月29日,Ahmad通过线上会议介绍硕士论文

 

This study focused on analyzing a large amount of new traffic technologies data, such as floating car data, to develop a real-time crash risk prediction model using artificial intelligence. The proposed models have an essential function in identifying the hazardous traffic conditions that tend to precede a crash within a short-time window. The main objectives of his research are summarized as follows:

本研究重点基于浮动车数据等多源交通大数据,利用人工智能开发实时碰撞风险预测模型。所提出的模型在识别在短时间内容易发生撞车的危险交通条件方面具有重要作用。他的主要研究总结如下:

  • Introduce a map-matching approach for the floating car data on expressways;
    引入高速公路浮动车数据的地图匹配方法;
  • Examine imbalanced classification algorithms, and compare them with several deep learning models to identify the best modeling framework;
    测试不平衡数据分类算法,与其他深度学习模型进行比较,确定最佳的模型框架;

  • Explore multiple threshold selection methods for separating potential traffic crash risk conditions from normal traffic conditions for real-world interventions.
    探索多种阈值选择方法,将潜在交通事故风险条件与正常的交通条件分离,用于实际干预中。

Substantial benefits:

创新点与贡献:

  • The proposed AdaBoost-CNN contributes to advancing research in predicting real-time crash risk on expressways using large amounts of imbalanced and continuous real-time traffic data;
    提出的AdaBoost-CNN有助于促进基于大量不平衡和连续的实时交通数据预测高速公路事故风险的研究;
  • The transfer learning technique substantially influences the prediction accuracy of the proposed AdaBoost-CNN, as well as the computation cost of real-time crash risk analysis;
    迁移学习技术极大地影响了AdaBoost-CNN的预测精度和实时碰撞风险分析的计算成本;

  • The findings suggest a profitable and very persuasive way for FCD map-matching approach, newly proposed in this study to transform GPS coordinates into traffic characteristics, such as traffic volume and speed, for the corresponding segments.
    本研究提出了一种新的数据处理方法,将GPS坐标转换为相应路段的交通运行特征(交通量和速度),为浮动车地图匹配提供了一种有效且具说服力的方法。

 

The graduate committee members were particularly impressed by the thesis topic, especially the high-quality methodology, ability to communicate his ideas clearly, and relevant and counter-intuitive results, which encourage the publication of his findings. Therefore, the jury nominated this study for the award of best master’s thesis.

答辩委员会对Ahmad的论文印象深刻,可靠的方法,清晰的表达,评委会提名为最佳硕士论文。

Figure 5: Ahmad's Master thesis graduate committee members, on 29th April 2022.
图5:2022年4月29日,Ahmad与硕士论文答辩委员合影

 

Research Experience/科研项目与学术成果:

In parallel to the thesis work, Ahmad had a significant contribution to his research group and he was interested in sharing knowledge with his colleague and didn’t hesitate to support his teammate tighter and always for the group's success. In addition, he participated in several projects for the Joint International Research Laboratory of Transportation Safety at Tongji University, such as:

在论文研究的同时,Ahmad对课题组也做出了重要贡献,他乐于与同学分享知识,支持其他同学的工作与研究,始终为整个课题组的进步而努力。他积极参与了同济大学交通安全国际合作联合实验室多个项目:

  • Suzhou belt freeway potential traffic safety hazard assessment project, funded by Suzhou Raocheng Expressway Co., Ltd., from 2019  to 2020.
    Tasks: Crash Modeling, Image Processing of traffic video surveillance data.
    苏州绕城高速公路(东桥至淀山湖)道路交通安全隐患评估,资助方为苏州绕城高速公路有限公司,2019年-2020年。
    主要负责:事故统计建模,视频数据处理
  • International Comparative Analyses of Road Traffic Safety Statistics and Safety Modeling, fundef by China Science and Technology Exchange Center, from 2019 to 2021.
    Tasks: GPS data analysis, Real-time Crash Risk Prediction.
    道路交通安全统计分析与建模国际对比研究,资助方为中国科学技术交流中心,2019年-2021年。
    主要负责:GPS数据分析,实时事故风险预测

 

In addition, Ahmad presented two research papers on Transportation Research Board (TRB). In addition, one of those papers is published in Accident Analysis and Prevention (AAP), and another one is under review for publication. His publications can be summarized as follows:

Ahmad共完成学术论文4篇,其中2篇会议论文发表在美国交通研究委员会Transportation Research Board (TRB),1篇期刊论文发表在Accident Analysis and Prevention (AAP),另一篇AAP在审:

Journal Papers/期刊论文:
[1]Yehia, A., Wang, X., Feng, M., Yang, X., Gong, J., Zhu, Z., 2021. Applicability of boosting techniques in calibrating safety performance functions for freeways.
Published in Accident Analysis and Prevention, 159, 106193.
[2]Yehia, A., Wang, X., Wang, T., 2021. Using an Imbalanced Classification Algorithm and Floating Car Data for Predicting Real-Time Traffic Crash Risk on Expressways.
Submitted to Accident Analysis and Prevention (Under Review).

Conference Papers/学术会议论文:
[3]Yehia, A., Wang, X., Wang, T., 2021. Utilizing Imbalanced Classification Algorithm for Real-Time Safety Analysis Using Floating Car Data on Expressway.
Presented in 101st Annual Meeting of the Transportation Research Board, TRB, National Research Council, Washington, D.C.
[4]Feng, M., Wang, X., Cai, B., Yehia, A., Zhong, M., 2021. Hourly Traffic Crash Prediction Using Environmental and Electric Vehicle Big Data.
Presented in 101st Annual Meeting of the Transportation Research Board, TRB, National Research Council, Washington, D.C.

 

Figure 6: Ahmad was defending his Master’s thesis proposal, on 8th Nov 2020.College of Transportation Engineering, Jading Campus, Tongji Uiervisty.
图6:2020年11月8日,Ahmad进行硕士论文开题答辩,于同济大学嘉定校区交通运输工程学院

 


Figure 7: Ahmad was showing tricks and tips for his research to improve their presentation skills, 8th Nov 2021.College of Transportation Engineering, Jading Campus, Tongji Uiervisty.
图7:2021年11月8日,Ahmad介绍他的研究和汇报技巧,以提高同学们的汇报能力
于同济大学嘉定校区交通运输工程学院

 

Future Plans/未来计划:

Eventually, Ahmad is currently seeking a doctoral opportunity to continue what he already started at Tongji University, he said “Actually, after my experience at Tongji University, I become passionate about scientific research. As well, I would like to continue my academic career and be one of the most influential researchers in the field all over the world. And I wish to return to China again and have the chance to meet my Chinese big family!”

Ahmad目前希望可以进行博士深造,以继续开展他在同济所作的研究。他表示,正是在同济大学的求学经历让他对科研充满了热情,同时,Ahmad也想继续他的学术生涯,以成为世界范围内在安全研究领域最具影响力的学者之一。Ahmad希望可以再次来华,加入他的中国大家庭!

Figure 8 Figure 6: Leaving day gathering before returning home, on 30th Nov 2022.Jading Campus Tongji University.
图8:2022年11月20日,回埃及前与课题组同学的告别聚会于同济大学嘉定校区

 

 

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