Master Interviews in 2022
3D pedestrian route choices and my research days
BINCHANG SHENiM2)
£with laboratory members@at summer school
Eiji: Where are you from? Shen: I'm from Zhejiang Province. It's a city with a long history, and my university is Chang'an University in Xi'an. I majored in Transportation Science, and when I was an undergraduate, I worked on pedestrian-vehicle interaction, modeling and simulating pedestriansf decision process using Decision Field, a psychological theory, and published a paper on it. This experience made me find that the pedestrian is an interesting object of study, as their routes are flexible, often unconstrained by traffic facilities, and their decisions are often dynamic, easily be influenced by the environment. Eiji: Why did you come to Japan? Shen: When I first started in the field of pedestrian traffic, I read some papers by Japanese scholars, and some of them are (maybe were) working at the University of Tokyo. Also, Tokyo is a charming city: itfs well developed with high-tech companies and clean streets; and has a traditional culture similar to China, as well as many interesting subcultures, such as games and animation. Eiji: While there are still many foreign students who cannot enter Japan, Mohammed-san came to Japan once, but now he is continuing his studies in Lahore. Shen: Yes, Ifm lucky to have the opportunity to study in Japan during COVID-19. It was very difficult at first, I wasnft sure when the COVID-19 would ease off and when the Japanese Government would open for foreign students. Although the university and your lab had provided me with a nice environment for distance learning and research as possible, I was really worried that I might have to spend the whole two years in China and complete my master's degree online. If so, Ifll miss out on so many interesting experiences and lose some opportunities for personal growth. Because in my opinion studying abroad is not only about studying and research, it is also important to experience the local life and culture and to interact with people from different backgrounds. I finally arrived in Japan in November of my M1. I stayed in a hotel for a week after I arrived... The window of the hotel is my first impression of Japan. (laughs). Eiji: Oh, I see. So that's how it was. Shen: When I came to the University of Tokyo for the first time, Koseki-san showed me around the Hongo campus, itfs very beautiful! And the lab members gave me a welcome sushi party, which made me feel at home. The lectures were different from professor to professor and the way of examinations was also different in COVID-19. Due to the risk of infection in organizing offline exams, most courses were graded in the form of reports, which allowed me to put into practice what I had learnt in class in small projects. It was very interesting, but anyway I had the impression that time passed very quickly because I was learning new knowledge and skills online. For my master's research, I worked on a pedestrian model in 3D urban space using multi-sensors, as it was close to the theme I had done in China. Eiji: How difficult was your research? Shen: In my research, we observe pedestrian travel behavior with multi-sensors and formulate observation equations. At the same time, we estimate the parameters of the behavioural model and conduct simulations. Data processing involving some machine learning approaches is challenging, but the most difficult part is the optimization method. I spent a lot of time learning discrete choice models from scratch, which is quite different from the model I used in my previous lab in China. Eiji: How did you learn it? Shen: The start-up seminar led me to understand the research theories used in this lab. Also, the reading seminar organized by Arai and ogawa in the summer vacation of M1 helped me a lot. As for the Recursive Logit model, I read the Fosgeraufs paper and related papers published by your lab. The papers by Oyama and Eiji are easy to read, and the archives of the presentations at our theoretical debates were very helpful. Also, I am very grateful to Kobayashi and suga for answering my questions on RL model. Eiji: It's nice to have different mathematical methodologies running together in our lab, so we can learn from each other and stimulate each other's research. How was your coding experience? Shen: When I was in China, I mainly used off-the-shelf machine learning algorithm packages to process images and get trajectories, and the programming requirements were limited to the pre-processing of the data. But in this lab, we wrote the code by ourselves. It was challenging but interesting. To complete my masterfs thesis I have to try to write some algorithms by my own. Eiji: What was interesting? Shen: I liked the part about link switching more than machine learning, I didnft finish it until the last week before the DDL of master thesis. I wrote the code for switching in the pre-processing of route data from scratch by myself, looking at Oyama-san's algorithm, and I was really happy and relieved to have done that. Eiji: What do you think of the potential of machine learning? In the ACT-X project, where I am on the committee, and at the Next Generation AI Center, is a programming exercise every year, and there is a big difference between those who can achieve a completely new coupling of machine learning and theiroxn topic, and those who can only come up with a mere comparative methodology with an exam-like approach. Shen: Machine learning is certainly in vogue these days. A lot of researchers are working on it. Then, the key is how to improve machine learning, how to adapt it to different research scenarios and data structures. I think preprocessing is more important. I felt the same way in my master's research. Eiji: I see. What is your impression of Japan? You're in the minority in Japan, and you've had a hard time? Shen: Evangelion. When I was a child and I saw Eva for the first time, it was very different from normal anime. As a child I was scared. But it was one of the first images I had of Japan. In both the anime and the film, Shinji, the main character, is a controversial character who is not a typical hero: he does not have a strong will and is even cowardly, always running away from his responsibilities. But that's what makes him so real, he is our friend, he is close to us. Eiji: Even if you want to run away from reality, whether it is your thesis or job hunting, it is human nature that you cannot. It is a feeling that we all have. Shen: I think so. I think there is a heroism in Shinji. Hefs running away from himself, running away from responsibility, and he led to Third Impact, and that was the mistake he made. But in the last choice, he stood up to the responsibility he had feared, to the irretrievable and dire consequences he had caused, and that was very valuable. This is heroism for the common man. Eiji: In my own experience, studying abroad is like resetting the past in a way, isn't it? There are things you can only understand when you feel as if the past has been cut off. But Eva's story made me realize that in the end, we are connected to our daily lives and reality. We can never restart like in a game. Eva ends with a scene from Anno's hometown, Ube. What was it about the Japanese landscape that made such an impression on you? Shen: My impression of Japan is in COVID-19, so it's mostly Tokyo. I like jogging since I came to Tokyo, itfs a safe way to enjoy the scene of streets of Tokyo, and because of my research theme, I also enjoyed seeing people running and walking around the streets of Tokyo. I used to run about 5km from Hongo campus every week. (laughs). Taketomi Island was also beautiful. I'm glad we could travel there together. On the island, we rode in an ox-cart and sang folk songs together. I was also impressed by the starry sky we saw on the seaside bridge at night. Eiji: I'm glad I went there at that time. Shen: When I graduate, I want to go on a trip and see the cherry blossoms in Kyoto. So I'm going to stay in Japan until April. Laughs: After that, I will work on research into automated driving. I want to continue my research on traffic, on the interaction between pedestrians and vehicles. Eiji: Research on interaction is just like the world of Eva, where emotions and reactions change as the environment changes. I think it would be fun to do research that goes beyond mere image processing. Recursive itself, which involves mutual decision-making, also changes, so it could develop into a problem of game, equilibrium and estimation of behaviour, which could lead to doctoral research. Finally, if there is anything you would like to say, please do so. Shen: My first impression of you was a YouTube video talking about the Olympics, in which you were a typical engineering professor, serious, erudite, and intoxicated with research. But when I came to Japan and met you, I saw some more aspects of you in real life and seminars. You like comics, would discuss the Olympic table tennis competition with me, would talk about the responsibilities of the young generation and the vision of the future after the seminar. Ifm glad to be supervised by an interesting and charming person. I had a hard time finishing my graduation thesis, the support of you and other lab members really encouraged me, thank you very much.