Innovative Traffic Management Driving Autonomous Mobility Forward

The FRONTIER EC project provides new integrated network and traffic management strategies that consider new types and modes of transport such as Connected & Automated Vehicles (CAVs), especially the challenges that these face in dealing with unregulated traffic, unexpected obstacles, and complexities in road geometries. For CAVs to realise their full potential, we need to understand the infrastructure that they need for safe and efficient operations.

In intelligent traffic management systems, the ability to automatically detect and respond to planned incidents such as recurring congestion and unplanned incidents such as accidents is critical.

The project has developed an Autonomous Network Management Engine (ANTME) platform which provides traffic operators with automatic incident detection and traffic state prediction, short-term and long-term. The short-term predictions take into account the most recent data of the segment to predict the traffic in a short time window of one hour. The long-term prediction offers one day and one week traffic prediction based on the historical behaviour for each type of day.

One of ANTME modules allows operators to evaluate the effectiveness of response plans for network-wide traffic optimisation. It takes as input the characteristics of traffic incidents detected in the network and automatically generates a list of response plans, containing multiple response actions such as traffic diversion, speed reduction and lane closure. By estimating the expected impact of response actions on the traffic flow, speed, occupancy, it supports decision making on the response plan to be adopted.

ANTME fosters collaboration in network management between diverse stakeholders communicating through the platform, empowering them to make well-informed decisions and prioritize improvements. FRONTIER solutions were tested in Athens as well as in Oxfordshire and Antwerp.

Source: The original article was published here