Day by day, Traffic Jam becomes the critical issues everywhere. Traffic jams cost the heavy loss and delays in the productivity per year. Citizens in every village, city, state now use data from smartphones & embedded satellite navigation to work around traffic. Yet only a handful of local governments are fully capturing the value of new location data streams & spatial analysis to optimize their city traffic management operations & reduce CO2 emissions.
Road Safety Analysis
With a wide range of data streams now available from a rapidly growing number of sensors & GPS devices, we can now understand the health of our road networks at a deeper granularity than ever before. To make our cities safer & more efficient, local governments need to apply Spatial Data Science methodologies, going beyond the analysis of historical data, to predicting the probability of incidents by location.
Optimizing public transport infrastructure, such as bikes, buses, trains, & metro services, is paramount in order to reduce traffic & improve road safety. Analysing commuter patterns through origin-destination matrices & spatial models allows cities to provide the right services to the people who need it most.
Providing real-time & crowd sourced insights on transport networks to citizens via intuitive solutions has become a key pillar of urban mobility strategies. Gathering & visualizing spatial data through simple web and Mobile applications enables citizens to share information on road safety, congestion, & much more allowing them to make more informed mobility decisions.