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Auflistung nach Autor:in "Meng, Linglong"

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  • Workshopbeitrag
    An analysis of the effects of swarm cycling on cyclists’ stress levels
    (Mensch und Computer 2023 - Workshopband, 2023) Schaffer, Stefan; Meng, Linglong; Hemdane, Alaaeddine; Wolf, Katrin; Tsovaltzi, Dimitra; Chehayeb, Lara; Gebhard, Patrick
    Swarm cycling has been proposed in previous researches as a novel concept for urban mobility, by adopting the "safety in number" approach, to enhance the visibility of cyclists in urban traffic and to increase the safety of cyclists. To investigate the effects of swarm cycling on the stress level of bicyclists, we conducted an experiment in an enclosed traffic training field with stressors, such as construction sites, etc. to simulate the stress situations in real traffic. A stress detection system utilizing the Galvanic Skin Response (GSR) sensor and an Android application was developed to monitor participants’ stress responses during cycling. In this research, 21 participants engaged in various cycling scenarios, including cycling alone, cycling within a swarm, and cycling in different positions within the swarm. GSR signal data were collected to quantify the number of stress peaks experienced by each participant during the rides. The data were subjected to statistical analysis to compare stress levels among the different cycling scenarios. The results of the statistical analysis indicate that swarm cycling has a positive impact on individual cyclist stress levels compared to cycling alone. However, there was no statistically significant difference in stress levels observed among different cycling positions within the swarm. This research provides insights into the potential benefits of swarm cycling as an urban mobility solution, emphasizing its positive influence on cyclist stress levels, thus encouraging the adoption of this novel concept to enhance safety and comfort for urban cyclists.
  • Workshopbeitrag
    Optimization of Swarm Formation in Swarm Cycling
    (Mensch und Computer 2023 - Workshopband, 2023) Meng, Linglong; Parwal, Krutarth; Schaffer, Stefan
    Cycling in groups improves safety by adopting the "safety in numbers" approach, reducing the risk of collisions with other traffic units, and enhancing the visibility of cyclists on the road, with cyclists riding as a more prominent and visible unit. Swarm cycling, a novel urban mobility concept, involves cyclists riding together in a group in a common direction or destination. The swarms are formed automatically via peer-to-peer connection when cyclists come in proximity, and the information of the swarm and individual cyclists will be synchronized within the swarm via a Nearby Mesh Network. In order to improve the existing swarm application, a pre-test with HCI experts was conducted in a low-traffic and enclosed area. The results of the pre-test round revealed that swarm formation could be optimized by adding more real-time information about the swarm to the user. Two distinct processes based on the user state (static, and dynamic) are developed for the optimization of the swarm formation, and integrated into the swarm cycling system to provide cyclists with information such as the reachability of the swarm, estimated arrival time, distance, and recommended speed to help the cyclist to approach the swarm. Online reviews from the same HCI experts confirmed the positive effect of realtime information in bridging the user’s awareness gap regarding whether the swarm is reachable and facilitating seamless swarm joining.