Abstract: An alert system and method comprising at least one alert beacon having one or more sensors (e.g., LiDAR sensor). The alert beacon further including a processor operable to poll the LiDAR sensor for a predefined number of beta readings in response to receiving an initial reading from the LiDAR sensor indicating a vehicle is within a predefined distance away from the alert beacon. The processor further being operable to calculate an average distance and an average velocity for the vehicle in response to receiving the predefined number of beta readings when the vehicle is within the predefined distance from the alert beacon. The processor also being operable to activate an audible alert and a visual alert when the average distance is below a distance threshold and the average velocity exceeds a velocity threshold in response to calculating the average distance and the average velocity.

Abstract: An alert system and method comprising at least one alert beacon having one or more sensors (e.g., LiDAR sensor). The alert beacon further including a processor operable to poll the LiDAR sensor for a predefined number of beta readings in response to receiving an initial reading from the LiDAR sensor indicating a vehicle is within a predefined distance away from the alert beacon. The processor further being operable to calculate an average distance and an average velocity for the vehicle in response to receiving the predefined number of beta readings when the vehicle is within the predefined distance from the alert beacon. The processor also being operable to activate an audible alert and a visual alert when the average distance is below a distance threshold and the average velocity exceeds a velocity threshold in response to calculating the average distance and the average velocity.

Abstract: An alert system and method comprising at least one alert beacon having one or more sensors (e.g., LiDAR sensor). The alert beacon further including a processor operable to poll the LiDAR sensor for a predefined number of beta readings in response to receiving an initial reading from the LiDAR sensor indicating a vehicle is within a predefined distance away from the alert beacon. The processor further being operable to calculate an average distance and an average velocity for the vehicle in response to receiving the predefined number of beta readings when the vehicle is within the predefined distance from the alert beacon. The processor also being operable to activate an audible alert and a visual alert when the average distance is below a distance threshold and the average velocity exceeds a velocity threshold in response to calculating the average distance and the average velocity.

Abstract: An alert system and method comprising at least one alert beacon having one or more sensors (e.g., LiDAR sensor). The alert beacon further including a processor operable to poll the LiDAR sensor for a predefined number of beta readings in response to receiving an initial reading from the LiDAR sensor indicating a vehicle is within a predefined distance away from the alert beacon. The processor further being operable to calculate an average distance and an average velocity for the vehicle in response to receiving the predefined number of beta readings when the vehicle is within the predefined distance from the alert beacon. The processor also being operable to activate an audible alert and a visual alert when the average distance is below a distance threshold and the average velocity exceeds a velocity threshold in response to calculating the average distance and the average velocity.

Abstract: A trip planning and reservation system and method is disclosed that may include a U.I. software application executing on a computing device (e.g., mobile device). The U.I. software application may transmit the user account information to an external server. The external server may validate the user account information and transmit an access token to the mobile device. An AI algorithm may be operable to predict and select the plurality of digital media files based on operational data that includes the user account information and one or more user interest tags. It is contemplated that the digital media files may include geographic coordinate data and informational data about a location within a pre-defined proximity of the desired travel route. A first file may then be selected from the plurality of digital media files for inclusion within the desired travel route displayed by the U.I. software application.

Abstract: An automated quoting system and method is disclosed that may employ a machine-learning model to interpret and extract information from a digital image. The machine learning model may be operable to verify the customer information received and employ prefill data services to compare and merge information together with the information extracted from the digital image. The automated system may use the extracted and acquired customer data to generate and provide one or more quotes to a customer.

Abstract: An alert system and method comprising at least one alert beacon having one or more sensors (e.g., LiDAR sensor). The alert beacon further including a processor operable to poll the LiDAR sensor for a predefined number of beta readings in response to receiving an initial reading from the LiDAR sensor indicating a vehicle is within a predefined distance away from the alert beacon. The processor further being operable to calculate an average distance and an average velocity for the vehicle in response to receiving the predefined number of beta readings when the vehicle is within the predefined distance from the alert beacon. The processor also being operable to activate an audible alert and a visual alert when the average distance is below a distance threshold and the average velocity exceeds a velocity threshold in response to calculating the average distance and the average velocity.