18170665. Apparatus for Predicting Traffic Flow on New Road and Method Thereof simplified abstract (Hyundai Motor Company)

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Apparatus for Predicting Traffic Flow on New Road and Method Thereof

Organization Name

Hyundai Motor Company

Inventor(s)

Nam Hyuk Kim of Seoul (KR)

Sang Wook Kim of Seoul (KR)

Dong Kyu Chae of Seoul (KR)

Apparatus for Predicting Traffic Flow on New Road and Method Thereof - A simplified explanation of the abstract

This abstract first appeared for US patent application 18170665 titled 'Apparatus for Predicting Traffic Flow on New Road and Method Thereof

Simplified Explanation

The embodiment apparatus described in the abstract is a system designed to predict traffic flow on a new road by utilizing a prediction model based on traffic data.

  • Memory, input device, and controller are key components of the apparatus.
  • The input device receives traffic data for the new road's default context.
  • The controller uses a prediction model stored in memory to predict traffic flow for various contexts of the new road.

Potential Applications

The technology could be applied in various fields such as urban planning, transportation management, and infrastructure development.

Problems Solved

This technology helps in predicting traffic flow on a new road, which can aid in optimizing traffic management strategies and improving overall road safety.

Benefits

The system can provide valuable insights into traffic patterns, helping authorities make informed decisions about road design, traffic regulations, and infrastructure development.

Potential Commercial Applications

This technology could be utilized by traffic management companies, urban planners, and government agencies involved in transportation infrastructure projects.

Possible Prior Art

One possible prior art could be traffic prediction systems used in existing road networks to forecast traffic conditions and optimize traffic flow.

Unanswered Questions

How does the prediction model adapt to changing traffic patterns over time?

The abstract does not provide information on how the prediction model is updated or adjusted to account for evolving traffic conditions.

What are the specific types of traffic data used in training the prediction model?

The abstract does not detail the specific sources or types of traffic data that are input into the prediction model for training purposes.


Original Abstract Submitted

An embodiment apparatus for predicting traffic flow on a new road includes a memory, an input device, and a controller configured to input traffic data corresponding to a default context of the new road received by the input device to a prediction model stored in the memory, training of which is completed, and to predict a traffic flow corresponding to various contexts of the new road based on the prediction model.