One of the challenges in the emerging field of computational crime analysis is that of
extracting actionable knowledge from heterogeneous (both legal and empirical) information …

Big data and data-driven analysis could be utilized for traffic management to improve road
safety and the performance of transportation systems. This paper introduces a web-based …

The daily routine of criminal investigators consists of a thorough analysis of highly complex
and heterogeneous data of crime cases. Such data can consist of case descriptions …

The volume of data associated with a single transportation incident is difficult to
comprehend, and existing systems often fail to equip users with the tools to rapidly make …

Human error, fatigue, and negligence cause the majority of road accidents. Modern
automobiles are outfitted with advanced driver assistance systems (ADASs) to help drivers …

World health organization recognized road accidents as one of the social and public health
problems. Intelligent transportation system which is totally based on advanced …

Road injuries are rated among the top 10 causes of death by the World Health Organization,
and the only one that is not a disease. The total economic cost of motor vehicle crashes in …

The advent of real-time traffic streaming offers users the opportunity to visualise current
traffic conditions and congestion information. However, real-time information highlighting the …

Although existing machine learning-based methods for traffic accident analysis can provide
good quality results to downstream tasks, they lack interpretability which is crucial for this …

Interstate crashes often result in significant queuing, which can lead to secondary crashes in
or at the back of the queue. These secondary crashes are of national concern and their …