[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 …

Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model

Y Huang, Z Zhang, Y Tao, H Hu - Advanced Engineering Informatics, 2022 - Elsevier
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 …

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 …

[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 …

Railroad crossing surveillance and foreground extraction network: Weakly supervised artificial-intelligence approach

Y Tang, Y Wang, Y Qian - Transportation research record, 2023 - journals.sagepub.com
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 …

Real-time dense traffic detection using lightweight backbone and improved path aggregation feature pyramid network

F Guo, Y Wang, Y Qian - Journal of Industrial Information Integration, 2023 - Elsevier
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 …

Artificial intelligence-aided grade crossing safety violation detection methodology and a case study in new jersey

A Zaman, Z Huang, W Li, H Qin… - Transportation …, 2023 - journals.sagepub.com
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 …

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 …

Vision-based monitoring of railway superstructure: A review

P Aela, J Cai, G Jing, HL Chi - Construction and Building Materials, 2024 - Elsevier
The computer vision-based analysis of railway superstructure has gained significant
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 …