As the vehicle population increases, parking is more and more difficult in urban areas. The main causes are as follows:
• Insufficient parking spaces. According to the international practice, the ratio of the vehicle population to the number of parking spaces should be 1:1.2 to 1:1.4. In China, that ratio is about 1:0.8 in large-sized cities and 1:0.5 in small- and medium-sized cities. According to statistics released by National Development and Reform Commission, more than 50 million additional parking spaces are needed.
• Low parking space usage. According to Urban Smart Parking Index released by iResearch, the vacancy rate of parking spaces in Beijing, Shanghai, Guangzhou, and Shenzhen is 44.6%. One of the main reasons is the information island of parking lots. Real-time information cannot be exchanged between parking lots and vehicle owners, leading to low parking space usage.
• Inconvenient parking. Vehicle owners cannot find vacant parking spaces in real time, causing the average parking time to be up to 18 minutes. As a result, the number of parking violation events increases, leading to traffic congestion. According to investigation results, about 30% of traffic congestion is caused by inconvenient parking.
• Less smart parking. According to research reports, the smart parking coverage ratio in Beijing, Shanghai, Guangzhou, and Shenzhen is only 7%. This cannot meet modern parking requirements.
he following requirements are imposed for deploying a new parking lot or reconstructing an unintelligent parking lot:
• From the perspective of parking lot operation: labor cost reduction, parking fee misappropriation prevention, parking space usage increase, revenue creation, data monetization, and advertisement push
The operation policy and mode used by each parking lot are different. Therefore, solution adaption for different parking lots must be flexible.
• From the perspective of user experience: fulfillment of different experience requirements, such as navigation software selection and flexible app customization
• From the perspective of network deployment: network deployment cost reduction and network reliability enhancement
NB-IoT Enables Smart Parking
The Huawei NB-IoT solution uses operators' network coverage. No additional network devices are required. This contributes to leading competitiveness in network deployment costs. NB-IoT features wide and intensive coverage. It saves additional costs caused by infrastructure construction in sparsely-populated areas and areas where cable layout is complicated and erection of poles for installing antennas is inconvenient. NB-IoT uses licensed spectra. This prevents unlicensed spectra causing network interference.
The NB-IoT network is maintained by operators, saving network operation costs for parking lots. Huawei IoT platform provides open APIs for parking lots. Third-party software vendors can develop specified operation software based on actual requirements, better meeting operation differentiation requirements.
The IoT platform can be connected to existing systems such as the GIS deployed for users. Open APIs provided by the IoT platform enable software vendors to develop customized software for users, meeting different experience requirements.
Compared with LoRa, ZigBee, and Telensa, the NB-IoT solution requires almost the same costs in parking space modules and higher costs in communication, but lower costs in network gateways, local network deployment, and local network maintenance. Therefore, the NB-IoT solution takes the lead in comprehensive commercial costs.
In terminal deployment, NB-IoT integrates NB-IoT modules through the vehicle detector. The reliability is high.
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