Dive into detailed traffic flow, congestion, and accident data to empower urban planning and traffic management with up-to-date, actionable insights.
Get a glimpse into the comprehensive data available for Singapore's road network, including traffic flow and safety metrics.
Crucial data points driving urban mobility and safety improvements
How can this dataset benefit you?
Utilize real-time traffic data to devise the most efficient routes for logistics and personal travel, reducing time spent in traffic and lowering fuel consumption.
Incorporate traffic and accident data in urban planning initiatives to enhance road infrastructure, improve public transport routes, and ensure pedestrian safety.
Deploy dynamic traffic management solutions based on predictive analysis of traffic patterns to alleviate congestion and improve emergency response times.
This section provides a detailed analysis of the median speeds recorded across various streets in Singapore. By examining speeds by street name, users can identify traffic flow patterns, peak hour congestion, and areas of potential bottleneck. It's an invaluable resource for urban planning and traffic management, offering insights into the efficiency of the road network.
The correlation matrix presents a comprehensive overview of the relationships between different traffic variables such as speed, volume, and time of day across Singapore's road network. This analysis helps in understanding how different factors interact with each other, aiding in the prediction of traffic conditions and the implementation of effective traffic control measures.
Highlighting the average speeds on the top 10 streets in Singapore, this data provides a snapshot of traffic performance in the city's busiest corridors. It allows for the identification of high-efficiency routes and points out areas where traffic interventions could improve flow and reduce congestion.
This specific analysis focuses on the average speed duration on Lebuhraya Laluan Ke II, offering insights into speed variability over different times of the day and week. Such detailed data supports targeted strategies to enhance road utilization and mitigate traffic-related issues on one of Singapore's key expressways.
By categorizing roads according to their functional classification, this section analyzes average speeds within each class, providing a clear view of how road function impacts traffic dynamics. This differentiation is crucial for road safety assessments, infrastructure development, and for enhancing the overall mobility on Singapore's roads.
This part of the dataset explores the distribution of speed limits across Singapore, offering a comprehensive view of regulatory speed controls in place. Understanding speed limit distribution is essential for evaluating compliance rates, assessing the adequacy of current speed limits, and planning for safer road environments.
Detailing the distribution of roads by their Functional Road Classification within Singapore, this analysis aids in understanding the composition of the road network in terms of road purpose and hierarchy. Such insights are vital for strategic planning, road maintenance prioritization, and optimizing traffic flow across different road types.
This data is provided by LocationMind but the data source is TomTom
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This dataset encompasses real-time and historical data on traffic density, accidents, road conditions, and congestion trends.
Leverage this dataset for site selection, analyze road traffic on your desired business location, enhanced route planning, strategic urban development projects, and to implement proactive traffic management strategies.
The dataset is updated after every 3 months to reflect any new entries, closures, and shifts in the grocery market dynamics.
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