TraVisAna: APP for traffic analysis through geopposition routes

New and innovative aspects

There are various commercial software solutions dedicated to traffic analysis. These companies perform the analysis using geospatial data and traffic cameras mainly. The TraVisAna software is based on the analysis of GPS trajectories, which lowers the cost of infrastructures since only a device with GPS is necessary and, now almost all public and private vehicles have one. Like these solutions, an application that runs on a server and on these devices is needed to be able to collect the routes and analyze them.

Main advantages of its use

• The treatment of the data generated allows identifying the traffic segments into which the transport activity can be divided and analyzing and even predicting the direction and speed of the traffic.
• Only a device with GPS is necessary.
• It is configurable and easy to use.
• It does not rely heavily on geospatial data, making the application adaptable to any city, which saves costs on software of this type. The app can also collect information from pedestrians, bicycles or scooters.
• By dividing the data, more detailed analyzes can be made by neighborhoods, sectors, hours or specific days.
• The cost is much lower than other existing solutions, since only the costs of renting or purchasing the server and the maintenance of the application are incurred; which makes the service affordable for SMEs or smaller companies, which can obtain relevant information in their business area.

Specifications

The prototype is based on Big Data technology and on the “Application of traffic analysis through geopositioning routes (AATRG)”. By combining both technologies, it is possible to build, from the raw data collected through the GPS devices of the users, a model of the traffic state. Using this technology, large amounts of raw data can be processed and that data can be enriched with information from other sources. By processing the enriched data, a model is generated that allows the information contained in these data to be described and analyzed.

The model generated in the prototype is a directed graph that describes the traffic between different locations in the city. This graph is associated with additional information in its relationships such as average speed and traffic density. Representing this graph graphically on a map, it allows a visual understanding of the traffic state. In addition, it is possible to make predictions of specific days and hours, so that companies can adapt their logistics to daily conditions. This would allow transport and logistics companies to adapt to daily changes in traffic in order to optimize their resources which would improve their competitiveness.

Applications

• Provide both consulting and personalized analysis services as well as custom applications that allow analysis to the company itself.
• Transport companies and parcel or merchandise delivery, which would allow them to go one step further in optimizing planned routes.
• Public administrations, city councils and those companies subcontracted by them, since it allows an analysis of the traffic that is key for the development of strategies known as Smart Cities or Smart Tourist Destinations.
• Public administrations since it allows making informed decisions for the regulation of traffic lights, planning of the public urban transport system, planning of emergency systems (ambulances, evacuation for emergencies), urban plans and in general all kinds of decisions that may affect traffic.
• Individual users who are either self-employed whose commercial activity depends on urban transport, or are developers of other applications that can use the processed traffic data for their own operation or simply want to know the state of traffic in their city to plan their own trips.

Intellectual property status

Protected by software BU-121-20

Current development status

Software already developed and constantly improving.

Desired business relationship

Commercial Agreement, License Agreement, Technical Cooperation: further development; Technical Cooperation: testing new applications; Technical Cooperation: adaptation to specific needs.