AIMC Topic: Environment Design

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Investigating the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine learning.

Accident; analysis and prevention Jul 1, 2024
Examining the relationship between streetscape features and road traffic accidents is pivotal for enhancing roadway safety. While previous studies have primarily focused on the influence of street design characteristics, sociodemographic features, an...
Deep Learning Environment Design Machine Learning Algorithms Safety Built Environment Pedestrians Accidents, Traffic Humans
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Evaluation method for ecology-agriculture-urban spaces based on deep learning.

Scientific reports May 18, 2024
With the increasing global population and escalating ecological and farmland degradation, challenges to the environment and livelihoods have become prominent. Coordinating urban development, food security, and ecological conservation is crucial for f...
Environment Design Sustainable Development Urban Renewal Deep Learning Agriculture
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Real-time crash prediction on express managed lanes of Interstate highway with anomaly detection learning.

Accident; analysis and prevention Apr 5, 2024
To facilitate efficient transportation, I-4 Express is constructed separately from general use lanes in metropolitan area to improve mobility and reduce congestion. As this new infrastructure would undoubtedly change the traffic network, there is a n...
Humans Environment Design Area Under Curve Neural Networks, Computer Machine Learning Accidents, Traffic Automobile Driving
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Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning.

Accident; analysis and prevention Jan 12, 2024
Road safety is a critical concern that impacts both human lives and urban development, drawing significant attention from city managers and researchers. The perception of road safety has gained increasing research interest due to its close connection...
Built Environment Accidents, Traffic Safety Humans Deep Learning Cities Environment Design
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Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analytics.

Accident; analysis and prevention Oct 19, 2023
Extreme value theory models have opened doors for before-after safety evaluation of engineering treatments using traffic conflict techniques. Recent advancements in automated conflict extraction technologies have further expedited conflict-based safe...
Accidents, Traffic Safety Cities Environment Design Humans Neural Networks, Computer Artificial Intelligence
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Integrating street view images and deep learning to explore the association between human perceptions of the built environment and cardiovascular disease in older adults.

Social science & medicine (1982) Oct 11, 2023
Understanding how built environment attributes affect health remains important. While many studies have explored the objective characteristics of built environments that affect health outcomes, few have examined the role of human perceptions of built...
Humans Aged Cardiovascular Diseases Built Environment Environment Design Deep Learning Walking Residence Characteristics
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Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning.

International journal of environmental research and public health Dec 11, 2022
Mental health is one of the main factors that significantly affect one's life. Previous studies suggest that streets are the main activity space for urban residents and have important impacts on human mental health. Existing studies, however, have no...
City Planning Residence Characteristics Environment Design Humans Deep Learning Mental Health China Male Female Aged
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Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities.

Scientific reports Nov 1, 2022
New 'big data' streams such as street-level imagery are offering unprecedented possibilities for developing health-relevant data on the urban environment. Urban environmental features derived from street-level imagery have been used to assess pedestr...
Walking Residence Characteristics Environment Design Humans Cities Deep Learning Canada
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A Novel AI-Based Visual Stimuli Generation Approach for Environment Concept Design.

Computational intelligence and neuroscience Jun 24, 2022
The nature of environment concept design is a visual-based issue, where designers need to find loads of visual stimuli to create the high-quality concept. This paper aims to introduce a novel AI-based method to automatically generate images as design...
Artificial Intelligence Environment Design
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Prediction of Urban Street Public Space Art Design Indicators Based on Deep Convolutional Neural Network.

Computational intelligence and neuroscience May 11, 2022
This paper analyzes and studies the structure and parameters of the VGGNet network model and selects the most commonly used and efficient VGG-16 as the prototype of the improved model. A multiscale sampling layer is added at the end of the VGG-16 con...
Neural Networks, Computer Environment Design
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