The data-based regression models are widely popular in modelling the relationship
between the crash frequencies and contributing factors. However, one common problem …

The majority of the prevailing collision detection and avoidance systems render evasive
maneuvers for averting front and rear vehicle collisions. This paper introduces a mid vehicle …

It is necessary to extensively investigate the causes of road accidents with the utmost
precision to harness future technological advancements, such as autonomous driving and …

The study mainly focuses on resource allocation optimization for industrial product‐service
systems (IPS2). The development of IPS2 leads to sustainable economy by introducing …

Understanding road accidents is very important nowadays, especially if self-driving is the
long-term technological goal. However, uncovering the causes of a particular accident is a …

Lane detection system for the driver of the car is an important issue for the inquiry as a
platform for safe driving experience. Implementation of this system is trying to investigate the …

Effective data driven decision making requires sufficient evidence and skill. Sufficient
evidence is sometimes measured through the availability of enough data and availability of …

Fuzzy linear regression analysis has become popular among researchers and standard
model in analyzing data in vagueness phenomena. However, the factor and symptoms to …