Siemens’ new sensor-controlled parking management system can help optimize usage of urban parking spaces and radically reduce traffic in towns and cities
According to the latest Apcoa study, motorists drive an average of 4.5 kilometers before they finally find somewhere to park. That costs time, gasoline and nerves. However sensor networks can gather information on the parking situation in the town and this is then forwarded to motorists to help them find a vacant parking spot. The data also flows into a town’s parking management control center where it is processed by an intelligent parking space management system with the aim of achieving a long-term improvement in the parking situation.
The sensors are easy to install on or in street lights, there’s no need for major interventions into the infrastructure. The solution is also more accurate and not only notifies if there is an object in the parking space, but also sends information about the size and position of the vehicle. The overhead system also detects any obstructions on cycle paths, bus lanes or garage and forecourt entrances caused by incorrectly parked vehicles. The measurement data is transmitted via mobile radio to the control center, which records the sensor data, calculates the corresponding parking space occupancy, and prepares it for use by app operators in services such as assistance for drivers in locating parking spaces. What makes the solution really special is that the software works with a system that is capable of learning. It detects recurring parking space situations at particular times and calculates forecasts so that users know what to expect when they arrive at their destination. Siemens uses technology from the US company Intel for connecting the sensors to the internet. The Intel IoT (Internet of Things) platform enables the parking sensors to be connected securely and flexibly with the control center. In this way,
• Satisfied citizens: The sensorcontrolled parking management system provides road users with statistical and real-time data so that, from the start of their journey through to their final destination, they can effortlessly find out about current parking space availability or availability at a certain time of day. Route planner apps and in-car or infrastructure-based navigation systems reduce drivers’ search times and ease the traffic burden.
• Intermodal travel: This solution also supports users when selecting their means of transportation. For example, before setting of on his journey, a commuter can find out about the current parking situation at his destination or about the walking distance from a potentially free parking space to the place he wants to go. However, at the same time he also receives information about the nearest P+R parking lot with the corresponding urban transport service. This gives a transparent, intelligent comparison of the modes of transportation, motivates people to use urban transport and ensures balanced utilization of the overall available urban parking capacity.
• Intelligent planning and control of parking capacity: The system supports the appropriate use of municipal resources as rules and prices can be based on valid parking data – for example to ensure that sufficient parking capacity is available for residents.
• Ideal utilization of available parking capacity thanks to a higher level of transparency for car drivers and travelers when planning their routes.
• The solution can also increase the profitability of the e-charging infrastructure because it immediately detects when e-parking spaces are occupied by vehicles that are not charging.
• Cleaner towns and cities: The amount of noise and exhaust fumes falls as there is no superfluous searching for parking spaces.
• Safety: Measures can be initiated immediately in the event of parking violations with an impact on safety: for example, nearby supervisory staff can be promptly informed and can clarify the situation personally. And of course, less traffic means more safety.