This study delves into the multifaceted challenges of urban rail safety, highlighting the intricate interplay among technological complexity, administrative oversight, and human factors. It proposes an innovative parallel data-driven intelligent design system tailored for highways, harnessing the capabilities of Bentley's MicroStation and integrating gesture-based somatosensory technology, with the aim of enhancing the safety and efficiency of urban transportation. The literature review comprehensively explores road safety issues, encompassing cognitive incentives, the coexistence of autonomous and manual transportation, and the impact of automated driving. The systematic model synthesizes these findings and underscores the significance of terrain modeling and the integration of somatosensory 3D human-computer interaction for authentic three-dimensional road design. Moreover, the paper stresses the importance of conducting reliability assessments prior to the trial operation of urban rail transit projects, evaluating key indicators to uphold elevated operational standards. Experimental results from recently commissioned rail lines unveil distinct failure patterns, particularly a prevalence of vehicle failures in the third stage of operation, while affirming the overall reliability of specific functionalities such as signaling and door systems. In essence, this article offers a nuanced exploration of urban transit safety challenges, innovative roadway design solutions, and insights from relevant literature to present a holistic perspective on optimizing traffic safety in urban transit systems.
Optimizing Traffic Safety Through Bentley's MicroStation Data-Based Highway Intelligent Design Systems
18.04.2024
651512 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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