TrafficInfraTech Magazine Linking People Places & Progress
Leveraging Data Analytics
Effective data analysis requires both critical thinking and problem-solving abilities. When used appropriately (with due consideration given to data literacy and data ethics), data analytics can be leveraged for both enforcement and non-enforcement purposes.
Predictive analytics can help urban planners, policy makers and other stakeholders make informed decisions – Using historical data and analysing population density, urban growth, traffic and travel movements, planners can overcome transportation challenges, implement changes, and make real change – specifically for non-enforcement functions.
Building Efficient Cities
In the quest for urban efficiency, the Internet of Things (IoT) plays a pivotal role. IoT devices generate a wealth of data, providing urban planners with critical insights into the challenges of public infrastructure, transportation, and traffic management. This data is instrumental in identifying and addressing key urban pain points.
Utilising predictive analytics, urban planners can simulate various scenarios to evaluate the impact of potential solutions on urban living conditions. For example, creating virtual models of proposed transportation infrastructure, complete with traffic pattern analysis, enables the design of public transport systems that are more efficient and effective in reducing congestion.
Furthermore, the scope of data analytics in urban planning extends to land use, environmental planning, and zoning, offering a comprehensive toolset for sustainable and strategic urban development.
Improving Traffic Flow and Road Safety
Traffic flow pattern analysis can be done if a vehicle is tracked across multiple junctions or multiple cameras and that is what we are doing. Our patent pending technology works not only through number plates, but also through actual identification of the vehicle across cameras.K. Srinivasan, AllGoVision
K. Srinivasan, Director and CEO of AllGoVision highlights the development of a cutting-edge multi-camera system for comprehensive traffic-path projection across road networks. This technology, adept at predicting traffic flow patterns, utilises a network of cameras to track vehicle movement across multiple junctions. Such detailed monitoring allows urban planners to optimise signal timings and road layouts based on real-time traffic data. This system is currently being deployed in New Cairo Smart City, Egypt, with an installation of 5,000 cameras dedicated to traffic analytics.
Data analytics plays a crucial role in road safety enhancement. Traffic engineers leverage crash data and predictive analytics to identify high-risk areas and implement preventive measures such as speed limits and barricades. This data-driven approach enables policymakers at various levels to formulate more effective road safety strategies.
In today’s urban landscape, overspeeding remains a leading cause of accidents, claiming 69.6% of lives lost due to traffic violations. Traffic Logix offers innovative radar signs and speed cameras to address this issue.
Traffic Logix’s radar signs alert drivers to reduce speed in high-risk areas. These signs use advanced technology to display dynamic messages and provide real-time data for effective traffic management. The Guardian speed camera systems deter reckless driving by capturing speeding violations in problem areas, enhancing overall road safety.
In Gurugram, Traffic Logix’s digital speed detection signs have successfully reduced speeding incidents, especially in managing visitor traffic. Their eco-friendly design and minimal maintenance make them a sustainable solution.