Team Panthera
AI & Data Science MUSTSmooth Safari
Problem Statement
Rapid urbanization in major metropolitan cities like Dar es Salaam has generated severe daily traffic congestion across key pathways into the city —resulting in great losses economically, excessive fuel consumption, and elevated collision risks—a crisis driven by three core infrastructure failures: 1) static junction signals- operating on fixed time cycles that cannot adapt to dynamic peak-hour directional flows 2) lagging navigation data-from conventional routing platforms that rely on GPS probe updates with 5–10 minute delays 3) uncoordinated fleet operation- across formal Bus Rapid Transit (DART) and informal transport means like public transport that lack real-time dynamic rerouting, leading to severe platform overcrowding, unpredictable transit delays, and obstructed emergency responses.
Proposed Solution
This solution is a smart traffic management system that uses intelligent cameras and real-time mapping to keep traffic moving smoothly across major cities like Dar es Salaam: 1) Smart Traffic Lights: Cameras placed at busy intersections watch traffic continuously and automatically adjust traffic light timing—keeping lights green longer for heavily jammed lanes during peak hours instead of using rigid timers. 2) Instant Dynamic Rerouting: The system spots traffic backups in seconds and works alongside navigation maps to guide drivers and commuters toward clearer alternative routes long before standard apps notice the slowdown. 3) Priority for Public Transit and Ambulances: Buses and informal transport drivers (daladalas and bajajis) receive real-time updates to avoid congested bottlenecks, while traffic lights automatically switch to green when an approaching emergency vehicle is detected. 4) Data for City Improvements:City leaders gain clear insights into where traffic jams occur most often, helping them target road repairs and plan better future infrastructure.
Innovation
This innovation utilizes the existing road cameras, compuer vision and Google maps technologies to automatically regulate traffic and smoothen point to point transportation
Expected Impact
1) Congestion Mitigation: Increases intersection capacity utilization during peak hours without costly road expansion. 2) Accident Reduction: Prevents sudden queue spillbacks and aggressive lane-merging behavior at bottleneck junctions. 3) Improved Fleet Efficiency: Provides real-time dynamic rerouting for public transport and emergency responders.