The Client
The client maintains a SaaS-based software app that offers road traffic monitoring solutions. Integrated with multiple CCTV sensors and data collection algorithms, the app gathers road traffic data. It generates analytics on driving speeds, pedestrian activities, traffic light malfunctions, and other incidents to help road authorities optimize travel routes and mitigate congestion.
Industry
SaaS
Tech Stack
Angular, Bing Maps, Kendo UI, TypeScript, Azure DevOps
Country
USA
The Challenges
The client already maintained a legacy software app to manage road traffic density. However, it had a heavily outdated dashboard that didn’t have proper algorithmic structures or integrations to reflect road traffic data. Therefore, there was a flaw in data transmission and representation.
Road congestion would aggravate due to data silos. Response times would slow down. Incorrect road traffic data would compromise public safety on roads.
Ensuring data accuracy was of the utmost importance for seamless road traffic management. At this stage, the client contacted Capital Numbers and requested our team build a robust analytical dashboard to reflect accurate road traffic data.
They specified that the inability to fetch correct data negatively impacted city traffic flows and caused massive congestion. Traffic control rooms would get incomplete information. As a result, road authorities would find it challenging to perform functions such as:
- Rerouting and diversions
- Traffic signal control
- Traffic monitoring
- Incident management
- Speed management
- Pedestrian monitoring
- Road repair management
- Network cable installation
![the challenges](/images/case-studies-details/case-study-158/cs158-challange.png)
Without clear data, road authorities would struggle to make informed policy decisions and plan infrastructure. So, Capital Numbers had to step in and leverage Data Structures and Algorithms (DSA) to provide reliable insights into road traffic data and lay the foundation of an intelligent traffic management system that enhances road safety.
Solutions We Offered
Capital Numbers pooled its best-in-class DSA experts to do the job. Our experts started by integrating high-level data structures and algorithms into the app dashboard.
We incorporated data structures, like hash tables and trees, into the Angular-powered app dashboard. This allowed us to quickly access and process information, such as vehicle counts and incident reports, essential for real-time road traffic management.
We embedded complex algorithms for analyzing traffic patterns, predicting congestion, and optimizing traffic flows. For example, shortest path algorithms helped us determine the quickest routes for emergency vehicles, and sophisticated algorithms helped us predict traffic trends based on historical data.
Data structures like queues and hash maps helped us manage and organize information such as vehicle types and traffic signal lights. Graph algorithms helped us model road networks to find and detect congestion points, while optimization algorithms helped us dynamically adjust signal timings based on current traffic conditions.
![solutions](/images/case-studies-details/case-study-158/cs158-solution.png)
Additionally, linear interpolation formulas helped us smoothly estimate traffic density at specific road intersections. Advanced image processing algorithms helped us detect accidents, stalled vehicles, and parking spaces.
In addition to the above, we incorporated color-coded polylines on Bing maps to differentiate between different types of cables and their specific functions, reducing the risk of errors during roadside repairs. We made this visual distinction to help technicians quickly locate and identify different cable pathways that may run close to each other, preventing accidental damage during maintenance work.
A lot of graphical representations were done using Kendo UI for high-quality visualizations. We also used TypeScript to adjust and fine-tune various frontend elements.
It took us around three years to develop and sync all the above algorithms, data structures, and visualizations with the .NET-powered app backend. We worked on the project using Azure DevOps deployment pipeline to ensure every integration is automatically tested and deployed to the Visual Studio Community source control, reducing configuration drift and deployment issues.
Technology
Screenshots
Results
Capital Numbers’ profound algorithmic knowledge and mastery led to the successful deployment of a high-level traffic monitoring app. Road authorities can now use this SaaS app to monitor traffic flows in and around their cities. Here’s a lowdown of the benefits the app offers:
Real-Time Traffic Monitoring
It enables traffic authorities to detect congestion, accidents, and other incidents in real-time.
Efficient Incident Response
The software facilitates quick identification of overburdening of roads, enabling authorities to clear obstructions.
Traffic Signal Control
It allows for dynamic control of traffic signals based on current traffic conditions, reducing delays at intersections.
Data Integration
It consolidates data from various sources, such as cameras, sensors, and GPS devices, providing a unified view of traffic flow.
Predictive Analytics
By analyzing historical data, the software predicts traffic patterns and potential problem areas.
![the Result](/images/case-studies-details/case-study-158/cs158-result.png)
Rerouting and Diversions
It provides real-time recommendations for alternative routes to drivers during road closures or construction work.
Lane Management
It helps manage different lanes, including dedicated bus lanes, high-occupancy vehicle (HOV) lanes, and reversible lanes.
Speed Management
It helps enforce speed limits by integrating with speed cameras and variable speed limit signs.
Pedestrian and Cyclist Management
It allows authorities to detect pedestrians and cyclists at intersections and designate dedicated crossing times for them.
Parking Management
It provides visual detection of roadside parking spaces and available spots.
Precise Mapping
It reflects polyline-coded geospatial maps to represent underground cables visually, minimizing the risks of damage during excavation work.
Resource Efficiency
It helps allocate resources more effectively, ensuring that traffic management personnel are deployed where they are most needed.
Infrastructure Planning
Data-driven insights now help locate high-priority development areas, leading to mindful infrastructure planning without causing congestion.
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Frequently Asked Questions
Based on the information provided about Capital Numbers, here arefive frequently asked questions (FAQs) and their answers
We offer a wide range of services, including:
- Digital Engineering: Custom software development, enterprise systems, automation tools.
- Web Development: Dynamic websites, e-commerce platforms, CMS solutions.
- Mobile App Development: iOS & Android apps, cross-platform solutions, app maintenance.
- QA (Quality Assurance): Automated and manual testing for error-free software.
- Cloud Engineering: Cloud migration, cloud infrastructure management.
- Data Engineering & Analytics: Data integration, data warehousing, data visualization, predictive analytics.
- AI/ML/GenAI: AI-driven analytics, machine learning solutions, generative AI applications.
- UI/UX Design: User interface design, prototyping & wireframing.
- Emerging Tech: AR/VR development, blockchain development.
We offer two distinct engagement models:
- Project-Based Development: Tailored solutions for defined goals, ideal for short-term projects.
- Dedicated Development Teams: Seamless integration, scalable solutions for long-term partnerships.
We have clients in various countries, including:
- USA
- UK
- Canada
- Australia
- Ireland
- Switzerland
- Saudi Arabia
- Indonesia
- UAE
- Israel
- Italy
We have received numerous awards, including:
- Clutch Top 1000 B2B Companies
- Financial Times High-Growth Companies
- The Economic Times India's Growth Champions
- Dun & Bradstreet Leading SMEs of India
- Manifest Global Awards
- Clutch Global Leaders
- Clutch Champion Awards
- GoodFirms: Trusted Choice Awards
- GoodFirms: Best Company to Work With
We were founded in 2012.
We are ISO 9001 and ISO 27001 certified, demonstrating quality and data security standards.
We create dynamic websites, e-commerce platforms, and manage content with user-friendly solutions.
We develop iOS & Android apps, cross-platform solutions, and provide ongoing maintenance.
We offer data integration, warehousing, visualization, and predictive analytics for data-driven decisions.
We offer AI-driven analytics, machine learning solutions, and generative AI applications for various needs.
Innovation, quality, client satisfaction, integrity, and teamwork are core values that guide our operations.
We aim to become a global leader in digital solutions, continuously innovating and empowering businesses with cutting-edge technology.