For that, developing a variety of IoT-enabled smart city infrastructures in Mongolia is becoming more popular. We aimed to develop the one of critical infrastructure, bus transportation system in Mongolia. Moreover, the main reason is that the services offered by bus transportation system are unreliable, inconvenient and uncoordinated. Most of people usually face the issues with the extreme weather conditions, confused by innumerable bus routes, frustrated by lack of information and lastly, bored by waiting for long hours.
Regarding the issues, the solution is to design a more suitable form of smart bus transportation system including information desk on each bus station, which is responsible for providing bus location to users at a bus station and developing web based mobile application for citizens. We designed the new general model architecture for IoT as following figure 1.
Fig.1 The architecture of IoT
Desining smart bus transportation based on IoT
According to requerement of the IoT wireless networks, we designed the architecture of smart bus transportation system. In this figure, we defined the solution of the IoT based bus transportation system using wireless communication due to mobility behavior of bus and citizens. According to the wireless communication, the technologies, particularly Municipal WiFi, Wimax and 3GPP, are suggested for providing interconnection among bus, citizens and the servers in data center. Because these technologies has already implemented and are used for a variety of applications in Ulaanbaatar. Therefore, in IoT enabled smart bus transportation system using wireless connection, data is transmitted from server to information desk and users through mobile application on their headphone using machine-to-machine (M2M) connection type and people-to-machine (P2M) connection type respectively.
Fig.2 Architecture and Simulation model of Smart Bus Transportation
Simulation study in this paper was performed using Qualnet network level simulator. Scenario consists of three types of network with WiMAX, Wi-Fi wireless networks and LTE/LTE-A cellular. Simulation model illustrated the general network model in Figure 2.
To evaluate the performance of bus transportation network with Wi-Fi, WiMAX and LTE, we use the figure 2. Figure 3 shows simulation results of our proposed model for bus transportation system for smart city. We analyzed the network models using QoS parameters. We presented the average end to end delay and jitter for Municipal Wi-Fi. For result, average jitter is stable for this model and maximum average end to end delay is 0.028s and minimum average end to end delay is 0.01s. Also we compared the throughput of three wireless network models with Municipal Wi-Fi, 4G/LTE and WiMAX. Municipal Wi-Fi network model gives us the good performance for traffic and QoS analysis. For WiMAX network model, it gives us the bad result, but we should improve our model in future. We will choose the Municipal Wi-Fi for future research for developing smart bus transportation system based on IoT.
Fig 3. Comparison of QoS parameters of Wireless networks
Bus transportation companies have a long history of using computing systems to improve safety, efficiency, and the customer experience. However, an increasing number of devices are working against these goal. According to this problem, IoT technologies make it easier to connect new and old systems together, thus enabling data sharing that can lead to a multitude of new opportunities.
The paper presented availability for implementing cellular IoT for bus transportation of smart city. From the result, Municipal Wi-Fi network model gives us the good performance for traffic and QoS analysis. Further we will improve our mode for bus transportation and implement the cellular IoT in real time.
Mongolian Association of Technology and Innovation of Young Researchers