Tim Ruß’s scientific contributions

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Publications (2)


Figure 1 -Example collision point at a road intersection. Source of pictograms: www.flaticon.com.
Figure 2 -Collision detection algorithm components
Predicting and Preventing Collisions of Vulnerable Road Users and Busses using V2X Communication
  • Conference Paper
  • Full-text available

October 2021

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254 Reads

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4 Citations

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Tim Ruß

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The research project BiDiMoVe in the city of Hamburg utilizes V2X to exchange data between infrastructure (thermal cameras, traffic lights) and metrobuses. This paper covers one of the core use cases of the project, the collision protection of VRUs like cyclists. Thermal cameras detect VRUs and generate V2X messages which are received and computed by on-board units on selected busses. The probability of collisions on the next intersections will be calculated and, if necessary, the driver will be informed. This paper presents the system's architecture, the collision prediction algorithm as well as technical and organisational challenges.

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Figure 1 -Communication system architecture in ITS
Figure 2 -Inputs to GLOSA-B application
Dynamic adapted green light optimal speed advisory for buses considering waiting time at the closest bus stop to the intersection

October 2021

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268 Reads

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3 Citations

A large amount of present green light optimal speed advisory (GLOSA) systems are for private vehicles. However, as one of nonnegligible transportation modes, public transportation is worth more attention. Some GLOSAs just provide several driving models with fixed speeds and accelerations which is extremely difficult for human-drivers to obey strictly and adapt dynamically. Therefore, this paper proposes a GLOSA for buses (GLOSA-B) considering the waiting time at the closest bus stop to the target intersection. By means of V2X communication based on ITS-G5 (IEEE 802.11p), this GLOSA-B could provide a range of recommended speeds and update calculation every second. To validate the proposed algorithm, 20 groups of GLOSA and non-GLOSA buses are simulated. The results indicate that this GLOSA-B could avoid unnecessary stops significantly. Compared with non-GLOSA buses, the GLOSA buses save waiting time at the target intersection by 98.95%.

Citations (2)


... To estimate the desired speed, as illustrated in the previous table, the following equation is used (Eq. 3) (Xie et al. 2021): ...

Reference:

Sustainable Intersections: Minimizing Energy Consumption and Environmental Impact Through Coordination and Communication Technologies
Dynamic adapted green light optimal speed advisory for buses considering waiting time at the closest bus stop to the intersection

... Within this project, the development of a software solution that could automatically process and evaluate the data was started; however, the scope of the project was to create a proof of concept; the software solution is only usable with a limited amount of recorded data. There is a huge potential in developing a software solution that could process and evaluate large amount of data automatically, based on predefined conditions [37]. ...

Predicting and Preventing Collisions of Vulnerable Road Users and Busses using V2X Communication