The University of Tokyo · Engineering
Professor Bo Yang's research lab focuses on intelligent transportation systems, with a strong emphasis on enhancing traffic safety and efficiency through advanced human-machine interaction and automation. Key research directions include in-vehicle traffic light systems that leverage vehicular communication to support driver decision-making at unsignalized intersections, trajectory planning for autonomous vehicles in shared urban spaces with pedestrians, and the behavioral impacts of level 2 automated driving on drivers. The lab also explores the integration of predictive algorithms, gap acceptance theory, and real-time driver monitoring to improve system reliability and reduce distraction. These efforts are grounded in driving simulator experiments and real-world applicable technologies, aiming to bridge the gap between automation and human factors in complex traffic environments.
Figures are computed from collected data and may differ slightly.
Ground traffic lights are essential for maintaining traffic efficiency and safety at intersections. However, unsignallised intersections are still frequent in actual traffic environments. With the development of new forms of vehicular communication, in‐vehicle traffic lights can assist drivers at unsignallised intersections. The authors proposed two types of in‐vehicle traffic lights to assist drivers; these corresponded to two‐way and all‐way stop‐controlled intersections. They adopted gap acce
Emerging vehicular communication makes it possible to provide traffic light information to drivers inside vehicles with the application of in‐vehicle devices. However, the effect of this method on driver behaviour is still unclear, and there is concern that the application of in‐vehicle traffic lights may result in driver distraction. This study proposed two modes of in‐vehicle traffic lights to assist drivers: a ‘current’ mode providing real‐time information of the upcoming ground traffic light
It is an essential issue for autonomous vehicles to keep driving safety while sharing spaces with other road users, especially moving pedestrians. An ideal trajectory planning of autonomous vehicles should be collision-free and feasible for the vehicles to execute. Previous efforts on trajectory planning mainly focused on traditional roads, and the research into pedestrian-vehicle interaction in shared spaces were still insufficient. This study proposed a prediction-planning collaboration method
It is becoming a common scene to observe the usages of level 2 automated driving in our daily life. To ensure driving safety while using the level 2 automated driving systems in various traffic conditions, it is an essential issue to clarify the influences of the level 2 automated driving on driver behaviors. Previous studies normally focused on drivers’ reactions to emergency events while using level 2 automated driving. However, it is still unclear that how will drivers interact with the level
In-vehicle traffic lights that assist drivers in crossing intersections are in development; however, the availability of the in-vehicle traffic light will be limited if the waiting time of a vehicle is not considered in actual traffic conditions, especially at priority-controlled unsignalized intersections that normally consist of one major and two minor roads. The present study therefore investigated the effects of the waiting time on driver behaviors to improve the in-vehicle traffic light for
At the University of Paderborn a mechatronic railway system (NBP-Neue Bahntechnik Paderborn) is designed and developed, which is guided by ordinary wheels and rails and is driven via a doubly fed linear motor. The concept is based on the operation of small shuttle units. The drive modules are designed as single axle units. As a result of thrust and normal forces the secondaries can pitch up and down because of the rising torque around the axle. So the pitching angle of the secondary remains in a
Most of intersections are without traffic signals to help drivers safely pass through intersections. Nowadays, it becomes possible to transfer traffic information of unsignalized intersections to drivers by application of communication technologies. Therefore, this study concentrated on in-vehicle traffic lights for assisting drivers to cross unsignalized intersections. Dependent on different traffic situations, unsignalized intersections can be classified as priority-controlled and non-priority
A compact laser scanner that scans approximately 90° has been demonstrated, which is enabled by an electrothermal MEMS mirror encapsulated in a 3D printed holder with a curved dome for optical amplification.
An in-vehicle traffic light system was proposed to assist drivers at intersections, by displaying traffic light inside vehicles based on vehicular communication. Driving simulator experiments have demonstrated that the system can be an effective method to provide assistance for drivers. However, previous studies assumed that all the vehicles were equipped with vehicular communication devices and the proposed in-vehicle traffic light, which is still impossible in the actual driving environment. T
Accurately recognizing the influence of excavation disturbance on the traversing cross-type deep foundation pit of the subway, determining the active range of the disturbance, and reasonably arranging the structure within its range can effectively ensure the safety of the project and save resources to achieve the goal of sustainable development. A three-dimensional model was established using the soil small strain hardening model to examine the subway deep foundation pit project in the CBD (cent
Summary This paper is concerned with the problem of practical exponential stability for hybrid impulsive stochastic functional differential systems with delayed impulses, which comprise three classes of systems: the systems with unstable continuous stochastic dynamics and stable discrete dynamics, the systems with stable continuous stochastic dynamics and unstable discrete dynamics, and the systems where both the continuous stochastic dynamics and the discrete dynamics are stable. By using the L
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