Accurate traffic flow prediction is a keystone for building intelligent traffic management
systems which have gained attention from researchers because of the availability of the …

To perform crash analysis on large road networks, the network has to be segmented into
smaller units. Existing approaches split road networks into road segments such that they …

Advanced route planning algorithms are one of the key enabling technologies for emerging
electric and autonomous mobility. Large realistic data sets are needed to test such …

Traffic congestion has emerged as a primary obstacle to sustainable urban development
and the livability of life. Seven super-large cities in China were the study area of this paper …

The globe has reached a critical juncture in the last recent years. According to data we
collected from an official internet source, Bangladesh recorded 913,258 confirmed cases …

Nowadays, ensuring human safety in yarious environments is of paramount importance.
This paper introduces a context-aware approach and software solution aimed at enhancing …

In some metropolitan cities of West Java Province, the urban movability affects to the
congested traffic. This study analyzes the congested traffic during the large-scale social re …

Electric and autonomous mobility will increasingly rely on advanced route planning
algorithms. Robust testing of these algorithms is dependent on the availability of large …

Deep learning models for traffic forecasting gained a lot of success in recent years. Important
application in traffic domain is to predict traffic congestion after certain time window based …

Electric and autonomous mobility will increasingly rely on advanced route planning
algorithms. Robust testing of these algorithms is dependent on the availability of large …