… known to the authorities. However, social media can also … Then, we review the works that
focus on transport and traffic events… and online clustering algorithms to detect disruptive events. …

… and accident problems, providing a big picture to competent authorities and supporting the
city … When applying the values predicted by the linear regression algorithm to the original data …

… on references that use ML algorithms to support Smart Transportation. The … Authority (FEDRO)
shows that there is a connection with the accident occurrence and the actual accident spot…

… According to the Korean Transportation Safety Authority, the … , was selected as the most
appropriate site for this study (Figure 4). … The K-nearest neighbor methodology, one of the most …

… A reduction in reaction time may be attained if authorities in … the various accident-prone
geographical locations, are very … of the most common algorithms used in accident prediction. In …

… algorithm techniques to solve transit network problems and … PT system and suitable locations
for bus stops/stations are … of interest to the nearest point at the closest main street. After …

… smoothing algorithm is first proposed to predict the bus speed … The work in [16] builds a
prediction model based on k-nearest … the bus routes to the road network using the GPS locations …

… to vehicles and other authorized entities. All unauthorized … separate category for detection
algorithms that detect other types of … to detect incidents, and forward them to a central authority …

… , and the identification of anomalous events in trajectories … and send it to the transportation
authority for dispersing traffic and … abnormal driving locations caused by a particular traffic con…

… been proposed to promote smart transportation in order to make … complexities of the discussed
algorithms in this paper. In … can be provided to the authority which clearly displays where …