Human brains cannot plan and optimize public transportation networks because they are complicated systems. Unplanned and unorganized public transportation networks result in excessive oil consumption, inefficient capacity utilization, a reduction in system reliability, an increase in private car ownership, and a reduction in mobility.
Aiptimize is a product of a 20-year-old company with extensive experience in traffic planning and engineering, public transportation optimization, and mobility planning.
In all of these sectors, the process begins with data collection, then moves on to data analysis and application. All public transportation systems strive to boost mobility demand while lowering expenses such as human resources and oil consumption.
These objectives will be met by all of the goods listed below.
Aiptimize ai cameras capture data on boarding and alighting in order to determine the mobility demand in different parts of the city. The number of trips, origin and destination centers, and travel time are all calculated using this method. AI-based learning algorithms plan and optimize routes, fleet kinds, timetables, capacity usage, drivers, and buses.
As a result, a comfortable, cost-effective public transportation system is developed, resulting in an increase in mobility demand.
Inside the camera box is where you'll find the gps module. We can get data such as the location and time of boardings, as well as alightments, thanks to the gps module. This data is used to identify passenger attraction and sourcing centers.
In the camera box, there is a GSM module. The GSM module allows you to connect to the internet.
Passengers who alight and board are monitored by camera lenses.
Video Processing module:
Used to monitör, identify and track the passengers.
Transport Analytics with Aiptimize
Located inside the web interface as a tab. Data listed below can be monitorized in this tab.
• Journey efficiency ( passenger / km )
• Capacity Usage
• Oil Consumption ( Quantity )
• Oil Consumption ( Value )
• Passenger per Round
• Passenger per Bus
• Passenger per Route
• Total Distance Taken by Bus
All of this data is utilized to develop the mobility demand and public transportation system in the most efficient way possible.
AI learning algorithms are used to plan and optimize the process.
This data is visualised and presented to users in a map format.
Resource Planning Module
All resources, including fleet and driver operations, can be planned using resource planning. In most towns, operation plans are created by hand. This is a time-consuming and inefficient method of resource planning.
The aiptimize resource planning tool is used to plan drivers, buses, and all other resources as well as their schedules.
Route Optimization Module
The aiptimize route optimization module adds the most value. Based on the data obtained by aiptimize cameras, AI learning algorithms create and optimize the most efficient routes. As a result, we prevent oil waste by identifying routes that are too long.
End User Smartphone Application
We influence urban mobility using the aiptimize smartphone app. Commuters on public transportation will utilize the Aiptimize mobile app to track and monitor the following:
• The capacity of the buses as well as their duty cycle
• Time to wait for the bus is estimated.
• Time to destination region (estimated)
• The location of the next bus is shown on a map.
• The public transportation system and fleet, as well as driver behavior, have a commenting and rating system.
• Interaction with the municipality in real time.
In order to increase mobility, a public transportation systems must be:
Aiptimize is an integrated optimization product that improves urban mobility by ensuring commuter comfort, quality of journey, accessibility, and reducing inefficient capacity usage and oil consumption.