A Study on the Cargo Vehicle Traffic Patterns Analysis Using Big Data
Tae-Hak Kim, Seong‐Jin Kim, Hyun Ok · 2017
Overloading is a major factor in the damage to road facilities such as bridges and traffic accidents, and the Ministry of Land, Transport and Maritime Affairs is in the process of fixing and moving the main points to overhaul. Moving control is more effective than stationary control, but it is possible to avoid interrupting the driver because the existing control pattern is well known along with the location of intruder by intuition. Therefore, in this study, we analyzed data such as investigation of oversight activities, existing enforcement information, and traffic volume information as an improvement measure to preemptively block intermittent vehicles. The analysis methods were analyzed to derive future delivery methods, along with analysis techniques such as logistic regression analysis and analysis methods, and methods for selecting the best possible location for selecting the routes.