Arshvir Singh Kalsi

For a robust re-routing model tailored to Mumbai’s complex traffic environment, you should incorporate a combination of attributes that capture both the spatial and temporal dynamics of the city. Here’s a breakdown of the essential attributes:

Core Inputs:

Source & Destination: The starting point and the end location of the journey.
Congestion Location(s): Specific segments or intersections currently experiencing heavy congestion.
Traffic Flow Data:

Real-Time Vehicle Speeds & Counts: Data from road sensors, probe vehicles, or mobile apps to capture current flow conditions.
Historical Traffic Patterns: Past traffic data that reflect typical congestion patterns during different times or events.
Road Network Characteristics:

Road Type & Geometry: Classifications such as highways, arterials, and local streets; number of lanes, intersection density, and road capacity.
Connectivity & Topology: How roads are interconnected, including details like grid patterns in central Mumbai versus radial layouts in suburban areas.
Temporal Features:

Time of Day & Day of Week: To capture rush hours, off-peak times, weekends, and weekday variations.
Special Events & Public Holidays: Data on festivals, events, or any incidents that might disrupt normal traffic patterns.
Weather Conditions:

Current Weather Data: Temperature, precipitation (e.g., monsoon rains), and visibility, as weather heavily influences traffic flow in Mumbai.
Forecasted Weather: Short-term weather predictions can help in anticipating further disruptions.
Incident & Disruption Data:

Accident Reports, Roadworks, & Events: Information about accidents, maintenance work, or any disruptions that could impact traffic conditions.
Geospatial Data:

GPS Coordinates & Map Grids: Spatial mapping of road segments and intersections to accurately locate source, destination, and congestion zones.
By feeding these detailed attributes into your model, it can analyze the current state and predict the most optimized alternative route. In an ideal setup, the system would use these inputs to output an alternative route that avoids congestion and minimizes travel time, along with performance metrics like estimated travel time and delay reduction.