Mobile App Development for Parking Search

NOVASOLUTIONS.TECHNOLOGY is engaged in the development, support and maintenance of iOS, Android, PWA mobile applications. We have extensive experience and expertise in publishing mobile applications in popular markets like Google Play, App Store, Amazon, AppGallery and others.
Development and support of all types of mobile applications:
Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

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Mobile App Development for Parking Search
Medium
from 1 week to 3 months
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Mobile App for Parking Search

Parking search is a real-time data task. User doesn't want to know "parking exists at address X", but "how many free spots right now". Without current data, the app is useless — driver arrives at parking and sees "no spaces". So first question in development — where does parking occupancy data come from.

Parking Data Sources

Smart parking with sensors (ultrasonic, magnetic) transmit via IoT gateways. Integration via REST API or MQTT. Data updates every 30-60 seconds. Best scenario — accuracy near 100%.

City APIs — many cities publish municipal parking data via open APIs. London, Berlin, Barcelona — have ready feeds. Format usually JSON REST or CSV.

Crowdsourcing — users mark "took space" / "freed space". Low accuracy, works as supplement to other sources.

Data providers — ParkWhiz API, SpotHero API, Parkopedia — aggregators with parking data in US/Europe. Paid but with coverage.

Architecture: server aggregates from all sources, normalizes to single model ParkingSpot { id, lat, lng, capacity, available, price, type, schedule }, client receives via REST or WebSocket.

Parking Map

Markers show occupancy by color: green (>50% free), yellow (20-50%), red (<20%), gray (no data). Google Maps SDK GMSMarker with custom iconView or Mapbox SymbolLayer with data-driven styling — marker color from available_percent field in GeoJSON.

Clustering at low zoom: cluster shows total free spaces from all parkings inside. DefaultClusterRenderer (Google Maps Utility) overridden for custom display.

On approach to parking (tap marker) — bottom sheet with details: entrance map, prices by hours, working hours, entrance photo.

Address Search with Route Building

User inputs destination address → app shows parkings within 300-500 meters, sorted by distance + availability. "Route" button → route building to selected parking via Google Maps SDK openWithBundleId deep link or in-app navigation via Mapbox.

Booking and Payment

Pre-booking — reserve space for specific time. Not all parkings support this, depends on automatic gate availability.

Booking form: entry and exit date/time, cost calculation on server. Payment via Stripe, local processor, Apple Pay / Google Pay. After payment — confirmation with QR code for entry or PIN for gate.

For parkings without automatic gate — meter payment via app. Push notification 15 minutes before paid time expires with option to extend from notification (UNNotificationAction).

History and Favorites

Recently visited parkings — auto from order history. Favorites — manual add. Sync via backend, available on all user devices.

Notification "your favorite parking at office freed up" — geofence + watch for available > 0 via WebSocket. User subscribes to specific parking.

Indoor Navigation

Advanced feature for large malls: indoor navigation within parking (floor, sector). Requires separate venue maps (Google Indoor Maps or custom SVG plans), positioning via WiFi fingerprinting or BLE beacons.

Simple option: photo of parking map with description "enter from mall side, floor -2, sector C".

Stack: Flutter or native iOS/Android, Google Maps SDK or Mapbox, Stripe/local processor, WebSocket for real-time updates.

Timeline: 8 to 14 weeks. Cost calculated individually.