Estimation of VMT using heteroskedastic log-linear regression models

Intelligent system for the optimization of eco-mobility operation processes aimed at public transportation in the state of Jalisco

“…Computer applications are present unnoticed in an everyday environment, directly impacting the lifestyle of those who work in an area where cell phone access is not restricted during working hours as mentioned in (Rokde & Thosar, 2023). This is the case of the control and technology department, which has a dead time impact on work since, as mentioned in the following research, it shows that interruptions or distractions in work centers can occur due to the use of cell phones, a notable example of this would be the use of cell phones such deficiencies would be: phone calls, text messages, non-productive conversations, (social networks) causing the loss of more than a quarter of the working time (Mahmud et al, 2023).…”

“…Based on (Mahmud et al, 2023), he details how in his research, vehicle miles traveled (VMT) is essential information in various aspects of transportation engineering, and accurate estimation of VMT is crucial for practicing engineers. The use of linear regression models stands out, as they represent a widely used approach to estimating VMT, since they enable understanding of the relationships between VMT and other external factors.…”