Abstract
Along with the evolution of times and the surge of metropolitan populations, government agencies often promote the construction of public transport. Unlike rail transportation or rapid transit systems, it is often difficult to estimate the vehicle arrival times at each station in a bus transportation system due to metropolitan transportation congestion. Traffic status is often monitored using wireless sensor networks (WSNs). However, WSNs are always separated from one another spatially. Recent studies have considered the connection of multiple sensor networks. This study considers a combination view of peer-to-peer (P2P) overlay networks and WSN architecture to predict bus arrival times. Each bus station, which is also a P2P overlay peer, is connected in a P2P overlay network. A sensor installed in each bus can receive data via peers to obtain the moving speed of a bus. Then, each peer can exchange its data to predict bus arrival times at bus stations. This method can considerably increase the accuracy with which bus arrival times can be predicted and can provide traffic status with high precision. Furthermore, these data can also be used to plan new bus routes according to the information gathered.
Highlights
Over the last decade, medical advances and rapid economic development have led to a substantial increase in population, which in turn causes increased traffic
This paper proposes a method of combining a peer-topeer (P2P) overlay network and wireless sensor networks (WSNs) to develop a bus arrival time prediction system
Data-retrieving devices on bus stations act as peers in the P2P overlay network and are responsible for receiving information sent from sensors on buses
Summary
Medical advances and rapid economic development have led to a substantial increase in population, which in turn causes increased traffic. Governments have attempted to reduce the number of residents who drive cars and the corresponding environmental pollution by developing public transportation. Such measures bring in additional urban tourism resources. Residents in many cities are not familiar with public transportation services and may not know how to take public transportation. This lack of knowledge arises from the fact that people are used to driving autonomously. If clear and comprehensible information can be provided to individuals, it allows them to predict their use of time and plan their schedules, making them more willing to take public transportation to reach their desired destinations
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