[HTML][HTML] Untapping the potential of mobile location data: The opportunities and challenges for retail analytics
J Aversa, A Azmy, T Hernandez - Journal of Retailing and Consumer …, 2024 - Elsevier
Smartphone technology has created a burgeoning mobile location data (MLD) marketplace.
MLD has been adopted by many retailers to track consumer behaviours at a granular level …
MLD has been adopted by many retailers to track consumer behaviours at a granular level …
Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model
With the increasing traveling speed of railway transportation, rail right-of-way intrusions can
cause high-consequence accidents and pose severe challenges to railway safety. Although …
cause high-consequence accidents and pose severe challenges to railway safety. Although …
Ethically contentious aspects of artificial intelligence surveillance: a social science perspective
T Saheb - AI and Ethics, 2023 - Springer
Artificial intelligence and its societal and ethical implications are complicated and
conflictingly interpreted. Surveillance is one of the most ethically challenging concepts in AI …
conflictingly interpreted. Surveillance is one of the most ethically challenging concepts in AI …
[HTML][HTML] Injury severity analysis of highway-rail grade crossing crashes in non-divided two-way traffic scenarios: A random parameters logit model
Q Ren, M Xu - Multimodal Transportation, 2024 - Elsevier
Highway-rail grade crossing (HRGC) crashes in non-divided two-way traffic scenarios have
caused numerous fatalities and injuries over the years. Although crucial to the safety of …
caused numerous fatalities and injuries over the years. Although crucial to the safety of …
Railroad crossing surveillance and foreground extraction network: Weakly supervised artificial-intelligence approach
According to the report to Congress National Strategy to Prevent Trespassing on Railroad
Property issued by the Federal Railroad Administration, trespassing is currently the number …
Property issued by the Federal Railroad Administration, trespassing is currently the number …
Real-time dense traffic detection using lightweight backbone and improved path aggregation feature pyramid network
An informed traffic situation at a grade crossing is essential for traffic management. Current
detection systems are expensive in computation and unsatisfactory in dense traffic instance …
detection systems are expensive in computation and unsatisfactory in dense traffic instance …
Artificial intelligence-aided grade crossing safety violation detection methodology and a case study in new jersey
Fatalities at grade crossings accounted for an average of 33% of all railroad industry
fatalities occurring in the past 10 years. As road traffic increases and high-speed rail …
fatalities occurring in the past 10 years. As road traffic increases and high-speed rail …
Modeling interactions between the Montreal subway and other urban transportation modes at the station level
E Deschaintres, C Morency, M Trépanier - Tunnelling and Underground …, 2023 - Elsevier
Subway systems are an example of how underground space can contribute to developing
more sustainable cities. Their use can be encouraged by integrating other urban …
more sustainable cities. Their use can be encouraged by integrating other urban …
Vision-based monitoring of railway superstructure: A review
The computer vision-based analysis of railway superstructure has gained significant
attention in railway engineering. This approach utilises advanced image processing and …
attention in railway engineering. This approach utilises advanced image processing and …
Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey
LM Wastupranata, SG Kong, L Wang - Electronics, 2024 - mdpi.com
Detecting abnormal human behaviors in surveillance videos is crucial for various domains,
including security and public safety. Many successful detection techniques based on deep …
including security and public safety. Many successful detection techniques based on deep …