The role of service-oriented human-computer interaction of Low-resource, high-efficiency public transit systems

Human-computer interaction (HCI) is crucial to improving public transportation in low-resource settings. The degree that people give up control to computers is a topic of discussion in various settings, including implementing smart transportation systems in rural areas. Disaster occurs because people don't believe in the system or try to change its decisions. Therefore, this study proposes a Service-Oriented Human-Computer Interaction (SO-HCI) model for efficient rural public transit. An inter-agent strategy for monitoring the rural transportation channel and the user information service is described in the service-oriented model. Human-computer interaction (HCI) is designed to maximize a predetermined level of mechanized efficiency; this efficiency level can be achieved in various automation settings, and HCI's way of thinking can shift over time. In the SO-HCI model, the uncertainty of misleading user expectations and a routine and formally defined transportation system result from implementing the Markov framework paradigm. Based on empirical evidence, the proposed SO-HCI model for rural smart transportation systems significantly outperforms the state-of-the-art in terms of rural mobility (97.6%), accessibility (95.4%), demand response (94.5
^%
), travel behavior prediction (98.7
^%
), and operating cost (11.2%).