Artificial Intelligence Can Now Predict Traffic Crashes Beforehand

Michael Finnigan
Nov 18, 2021

Artificial Intelligence is radically revolutionizing the way we think, learn, and behave and we can communicate with machines through AI technology to solve complex problems. AI is significantly gaining popularity in almost every field. One such field is traffic control. This world-shattering technology is also positively influencing the way we how we commute. Today, you can predict crashes by analyzing traffic patterns. As a result, we can reduce road accidents and make transportation reliable and safer.

Machine learning algorithm gathers information from smart IoT devices and identifies traffic and accident patterns. These algorithms use that data to generate insights to evaluate the possible reasons for disruption in traffic activities. Artificial Intelligence Integration can bring sustainability, livability, and workability to the system. The key role of an AI system is to collect data through sensors, devices, and other systems. The data flows through an analytics system, which predicts crashes that are about to happen.

1. Cars Connected to Cities

Wireless connections in the vehicles can share valuable data such as location. Authorities can use that data to manage traffic jams and prevent crashes. Companies such as Tesla, Apple, and Amazon are working on autonomous self-driving cars that anticipate the risks of collisions. These cars contain complex sensors for a smoother drive. Furthermore, these cars can connect with other vehicles and wirelessly exchange data.

2. Smart Traffic Signals

Local and Federal governments are investing in V21 technology to make traffic signals smarter. These advanced signals monitor traffic flow and improve signal timing throughout the day. Also, these signals can identify vehicles that stand inactive and send alerts to the authorities. Powered by AI technology, these smart traffic signals provide valuable data to authorities to prevent traffic crashes. Other benefits of V2I technology are weather updates, accident alerts, and other safety-related alerts.

3. Monitoring Pedestrian Traffic

Sometimes pedestrian traffic can also disrupt the traffic pattern, resulting in crashes. Artificial Intelligence monitors the vehicle numbers around each intersection and manages the number of vehicles on a route. Since IoT sensors enable communication between devices, every signal can interconnect. Monitoring the traffic signal further enhances the safety of vehicles and pedestrian traffic. After acquiring the data from pedestrians, traffic signals can change the red light duration on each intersection.

4. Real-time Traffic Feedback

Artificial Intelligence tools such as Machine Learning algorithms and the Internet of Things can evaluate the roads and share real-time information with the authorities and other devices to streamline traffic flow. During peak hours, AI systems control and divert the flow accordingly, preventing potential crashes.


Artificial intelligence improves our way of living, and traffic control is only one aspect. Through proper surveillance and real-time data collected from traffic signals and vehicles, authorities can predict and prevent risks of accidents. Today, we have vehicles with sensors that detect objects in front of the car and automatically hit the brakes. These vehicles are still in the testing phase, but soon we’ll see those smart vehicles on the roads.