smart parking solutions for urban areas <\/span><\/h3>\nBefore developing a smart car parking system <\/span> itself, we analyzed the pros and cons of our client\u2019s existing map formats. We needed to find the right format to serve as the basis for the new concept map that will be used for mobile navigation. In the process, we learned that Navigation Data Standard (NDS) maps were too bulky and incapable of streaming while MapBox Vector Tiles (MVT) maps lacked 3D rendering capabilities and required too much space for mobile use. Consequently, the team decided to base the solution on our client\u2019s proprietary map format. This format had none disadvantages compared to NDS and MVT maps and, for the most part, satisfied the requirements for the new map concept.<\/p>\nThe selected map source format, however, lacked a formal specification, so our engineers formalized the data sets and the layers for the source format. These adjustments allow developing custom mobile route solutions matching specific data layers with the base-map layer. For instance, tourism app developers could insert a custom layer with geolocation- and time-aware points of interest (POI) like cafes, coffee shops, and restaurants above the base-map.<\/p>\n
After overcoming the challenges of creating a mobile-friendly map format, Intellias engineers developed a proof-of-concept smart car parking system <\/span> for routing to free parking slots in urban areas. We also added a possibility of precise routing to the POI including navigation for pedestrian walking from the parking slot to the POI. Ultimately, the smart car parking system <\/span> routes a car to the closest parking slot taking into account distance and estimated time of arrival (ETA). The route is dynamically modified based on parking availability as the system recalculates total ETA including pedestrian part of the route. Information on free parking slots comes from the platform\u2019s volatile layer. This volatile layer obtains data from vehicles whose onboard sensors (lidar, cameras) detect free parking slots while maneuvering around the parking.<\/p>\nOur next task was migrating the compilation of the source map format to the new platform\u2019s compilation framework to use platform-provided geodata for the new mobile route solution for finding parking slots. We also added support for incremental map updates that allow us to publish the latest urban and road infrastructure changes to individual map tiles instead of the whole map.<\/p>\n
Further, we focused our efforts on developing a universal platform tool that automatically generates language-agnostic encoders and decoders of location data for custom map layers. This tool is based on Google Protocol Buffers and supports a variety of languages including Java, Scala, C++, Python, and JavaScript.<\/p>\n
We achieved great results together<\/h2>\n
The smart parking case study <\/span> for a PoC mobile application and the new source map format both received approval from the client\u2019s leadership for full-scale development. Our client\u2019s product management, sales, and marketing teams are now studying the market feasibility of this new smart parking case study<\/span>. After several brainstorming sessions, we came up with additional workflows for end-users to bring them to selected POI using this smart parking system:<\/p>\nWorkflow for route planning:<\/strong><\/p>\n\n- A user enters the POI and sets free parking slots options based on preferable distance and ETA<\/li>\n
- The navigation app builds an optimal route to the free parking slot according to the set of predefined preferences (time, distance, parking cost)<\/li>\n
- After arrival to parking, the system builds a walking part of the route from the parking to the POI<\/li>\n<\/ul>\n
Additional alerts and notifications while completing the route:<\/strong><\/p>\n\n- The system alerts a driver if a parking slot is busy before they have arrived and automatically proposes another route according to predefined preferences<\/li>\n
- The system alerts a driver if a better parking slot is available and automatically proposes another route according to predefined preferences<\/li>\n<\/ul>\n
We also continue to tighten our cooperation with the client\u2019s rendering team. As a result, we already outlined a technical vision to implement the new concept maps used for smart parking into several more custom mapping solutions.<\/p>\n","protected":false},"excerpt":{"rendered":"
We developed a smart parking system for driving to free parking slots and further walk to POI<\/p>\n","protected":false},"author":6,"featured_media":64092,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5],"tags":[11,458],"acf":[],"yoast_head":"\n
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![\"Smart](\"https:\/\/intellias.com\/wp-content\/uploads\/2018\/10\/open-maps-for-navigation.png\")
<\/p>\n