Challenge / Goal
Data as a basis for traffic management: To promote sustainable mobility, many European cities, including the German city of Krefeld, are focusing on bicycle mobility. And the planning of cycle lanes is the key to it. However, in Germany, the management of cycle lanes are often planned without solid database, and thus take not into account the different and changing traffic flow of bicycles due to different occasions. This mismanagement often causes critical incidents and congestion on the streets. To address this issue, municipalities and public traffic and transport departments must collect and analyze much more (traffic) data. And data comes from sensors.
Limitation of traditional sensors: The camera technology is strongly influenced by weather conditions and can also cause data privacy problems. Radar technology can just provide limited information, e.g. the speed of an object. Compared to these sensors, LiDAR can provide a more precise and reliable data basis, which is according to European GDPR guidelines.
Concern about permanent or (long-term) installation of sensor facilities: Traffic flow and the development of sensors are changing so fast, that a permanent installation of sensor facilities is economically not very efficient for the smart city development.
To address the issues and requirements, LiangDao has improved the stationary version of the LiDAR system (LDTelescope) for traffic management and developed a mobile version (LDRover).
Hardware improvement from stationary to mobile version: The hardware part of the LDRover can be flexibly equipped with multiple LiDAR sensors, to achieve 360° horizontal Field of View (FOV) and 90° vertical FOV coverage. It is supplied by an independent power source (battery life of at least 8 hours) and a 4G/5G communication network. Due to the electric lifting design, the station can be easily operated by one single person to meet multiple height (max. 5.3 m) application requirements. In addition, it is weather-resistant and vandalism-protected.
Software development: In terms of software, we have customized and refined the perception algorithm within a short period of time to further ensure precise and reliable bicycle identification and counting, as well as the analysis of related information, like speed. Compared to the hardware development, the software development is more efficient and cost-effective.
How does it work:
- With the improved perception software, LDRover can detect and count all movements of bicycles in real-time in Krefeld;
- The detected bicycle data and counted bicycle number will directly be displayed on the monitor;
- Providing different formats for the data transfer:
- The collected data (raw data or analyzed data) can be transferred in xls-format.
- The data can be transferred to the data dashboard.
Generally, our LiangDao self-developed perception algorithms with LiDAR system can detect all movements of main road users, including vehicles, bicycles, trucks, vans, motorbikes, and pedestrians in real-time at an entire intersection according to various criteria and provide precise analysis and planning data of traffic flows to increase road safety.
Survey with German citizens about LiDAR in the smart city:
LiDAR as quite a new and modern technology, which in the past was mostly used in the automotive industry, rarely in the smart city field. To better understand citizens' perceptions regarding the usage of sensors, especially LiDAR in the smart city development, we carried out a survey on-site last winter. Based on the survey, we felt their big concern about their personal data, which were collected by camera, and the lack of knowledge about LiDAR, especially from citizens in the middle age. But when you explain to the citizens in simple terms the usefulness of LiDAR, and show them the content based on LiDAR combined with algorithms, it is much easier for them to accept this technology used in the smart city context. For them, it means that the data collection is safe, without any sensitive information.
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