Navigate intersections with AVs

Have you ever wondered about the intersections that we face in our daily commute? Now imagine you being in a driverless car, arriving at the point of the intersection joints. So, what should you do? Or I should say what your AVs should do?

How do they decide about handling the intersection areas and navigate the complexities for a better solution?

The intersections are complex to understand the correct route and take a turn for the final destination or to reach your journey. Let’s look at the various possibilities for Autonomous vehicles to handle the intersections.

The real-world examples of intersection handling by autonomous vehicles: –

• A mathematical model and heuristic approach are proposed by the researchers to optimize the intersection management used in autonomous vehicles. The complexities used to demonstrate the efficiency of this approach using traffic simulations.
• The traffic jams are minimized by the intelligent system to manage the time while the vehicle passes through the intersection. The arrival time, CO₂ emissions, and fuel consumption are the metrics that are considered.
• The predicting behavior is used in the Autonomous vehicle to monitor the traffic participants at intersections. A strong focus is also on machine learning-based behavioral prediction, probabilistic models, and mixed-method approaches.
• The decision-making is also categorized as reactive learning and interactive decision-making. The strategies support autonomous vehicles to navigate the intersections more safely and efficiently.
• The MARL technique is used for enhancing the decision-making process in important scenarios of intersections that are uncontrolled. The interactions are trained for the autonomous vehicles to handle complex scenarios. The issues of areas without traffic signals or signs.
• The autonomous vehicles also allowed Vehicle-to-Infrastructure (V2I) to access real-time information about traffic conditions. The vehicles also can optimize the routes and interactions at intersections.
• The speed of each vehicle is indicated by global plans for minimizing conflicts and improving the traffic flow of the ongoing autonomous vehicle.

Mostly, mathematical calculations are going to be an effective solution to solve complex AV issues.

Sources:- mdpi, springer, diva portal