Prediction of the severity of exceeding design traffic loads on highway bridges

Prediction of Parking Space Availability Using Improved MAT-LSTM Network

“…Studying a multi-input, single/multi-output network model to explore the impacts of multiple explanatory variables on response variables should be conducted, which can be used to predict the number of highway accidents [24] and incidents of exceeding the bridge design traffic load [25]. In this example, the response variable can be the average availability of a parking lot within a specific time window, and the explanatory variables can include time patterns (hours of the day, days of the week, and holidays [26,27]) and contextual factors (weather conditions [28][29][30], characteristics of the parking lot in the area, characteristics of the building/enterprise served by the parking lot [31], and so on).…”