Aiptimize Artificial Intelligence Technology Human brains are complex systems and therefore cannot plan and optimize public transportation networks. Unplanned and disorganized public transportation networks lead to excessive oil consumption, inefficient capacity utilization, decreased system reliability, increased private vehicle ownership, and reduced 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 these sectors, the process begins with data collection, followed by data analysis and implementation. All public transportation systems aim to increase mobility demand while reducing expenses such as human resources and oil consumption.
These objectives will be met with all the products listed below.
Aiptimize AI cameras capture boarding and alighting data to determine mobility demand in different areas of the city. This method calculates the number of trips, origin and destination points, and travel duration. AI-based learning algorithms plan and optimize routes, fleet types, schedules, capacity utilization, drivers, and buses.
As a result, a comfortable and cost-effective public transportation system is developed, leading to an increase in mobility demand.
GPS Module :
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.
GSM Module :
In the camera box, there is a GSM module. The GSM module allows you to connect to the internet.
Camera Lenses :
Passengers who alight and board are monitored by camera lenses.
Video Processing module :
Used to monitör, identify and track the passengers.
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.
• Estimated time to reach the destination
• The location of the next bus is shown on a map.
• Comment and rating system for public transportation system and fleet driver behavior
• Interaction with the municipality in real time.
In order to increase mobility, a public transportation systems must be:
• Reliable
• Accessible
• Comfortable
• Economical
• Sustainable
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.