A Predictive and Optimization Approach for Enhanced Urban Mobility Using Spatiotemporal Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Mishra, Shambhavi, Murthy, T. Satyanarayana |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
por: Rashvand, Narges, et al.
Publicado: (2023)
por: Rashvand, Narges, et al.
Publicado: (2023)
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
por: Lin, ChungYi, et al.
Publicado: (2024)
por: Lin, ChungYi, et al.
Publicado: (2024)
Hybrid Quantum Reinforcement Learning with QAOA for Improved Vehicle Routing Optimization
por: Murthy, T. Satyanarayana, et al.
Publicado: (2026)
por: Murthy, T. Satyanarayana, et al.
Publicado: (2026)
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
por: Nie, Tong, et al.
Publicado: (2023)
por: Nie, Tong, et al.
Publicado: (2023)
FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration
por: Wang, Binwu, et al.
Publicado: (2024)
por: Wang, Binwu, et al.
Publicado: (2024)
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study
por: Zhuang, Dingyi, et al.
Publicado: (2025)
por: Zhuang, Dingyi, et al.
Publicado: (2025)
Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
por: Bharadwaj, Shreyas, et al.
Publicado: (2025)
por: Bharadwaj, Shreyas, et al.
Publicado: (2025)
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning
por: Wang, Yinan, et al.
Publicado: (2024)
por: Wang, Yinan, et al.
Publicado: (2024)
Predicting Traffic Congestion at Urban Intersections Using Data-Driven Modeling
por: Kelly, Tara, et al.
Publicado: (2024)
por: Kelly, Tara, et al.
Publicado: (2024)
Solving the Inverse Alignment Problem for Efficient RLHF
por: Krishna, Shambhavi, et al.
Publicado: (2024)
por: Krishna, Shambhavi, et al.
Publicado: (2024)
Novel Approach for Predicting the Air Quality Index of Megacities through Attention-Enhanced Deep Multitask Spatiotemporal Learning
por: Khan, Harun, et al.
Publicado: (2024)
por: Khan, Harun, et al.
Publicado: (2024)
UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services
por: Fang, Jiangyi, et al.
Publicado: (2023)
por: Fang, Jiangyi, et al.
Publicado: (2023)
Hybrid Machine Learning Approach For Real-Time Malicious Url Detection Using Som-Rmo And Rbfn With Tabu Search Optimization
por: T, Swetha, et al.
Publicado: (2024)
por: T, Swetha, et al.
Publicado: (2024)
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
por: Ryu, Seunghee, et al.
Publicado: (2025)
por: Ryu, Seunghee, et al.
Publicado: (2025)
Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusion
por: Situ, Zuxiang, et al.
Publicado: (2023)
por: Situ, Zuxiang, et al.
Publicado: (2023)
Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh
por: Pazola, Anna, et al.
Publicado: (2025)
por: Pazola, Anna, et al.
Publicado: (2025)
Optimizing LLMs Using Quantization for Mobile Execution
por: Yadav, Agatsya, et al.
Publicado: (2025)
por: Yadav, Agatsya, et al.
Publicado: (2025)
Do not trust what you trust: Miscalibration in Semi-supervised Learning
por: Mishra, Shambhavi, et al.
Publicado: (2024)
por: Mishra, Shambhavi, et al.
Publicado: (2024)
A Data-Driven Approach to Enhancing Gravity Models for Trip Demand Prediction
por: Acharya, Kamal, et al.
Publicado: (2025)
por: Acharya, Kamal, et al.
Publicado: (2025)
Value Prediction for Spatiotemporal Gait Data Using Deep Learning
por: Cavanagh, Ryan, et al.
Publicado: (2024)
por: Cavanagh, Ryan, et al.
Publicado: (2024)
DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings
por: Mishra, Aditya, et al.
Publicado: (2023)
por: Mishra, Aditya, et al.
Publicado: (2023)
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data
por: Chaves, Anderson, et al.
Publicado: (2024)
por: Chaves, Anderson, et al.
Publicado: (2024)
Agentic Workflow Using RBA$_θ$ for Event Prediction
por: Sengupta, Purbak, et al.
Publicado: (2026)
por: Sengupta, Purbak, et al.
Publicado: (2026)
Predictive Modeling of I/O Performance for Machine Learning Training Pipelines: A Data-Driven Approach to Storage Optimization
por: Prabhakar, Karthik, et al.
Publicado: (2025)
por: Prabhakar, Karthik, et al.
Publicado: (2025)
Enhanced Urban Traffic Management Using CCTV Surveillance Videos and Multi-Source Data Current State Prediction and Frequent Episode Mining
por: Ansari, Shaharyar Alam, et al.
Publicado: (2025)
por: Ansari, Shaharyar Alam, et al.
Publicado: (2025)
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
por: Adlouni, Mohammed Ali El, et al.
Publicado: (2025)
por: Adlouni, Mohammed Ali El, et al.
Publicado: (2025)
Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention
por: Ahmad, Osama, et al.
Publicado: (2025)
por: Ahmad, Osama, et al.
Publicado: (2025)
Practical Physical Layer Authentication for Mobile Scenarios Using a Synthetic Dataset Enhanced Deep Learning Approach
por: Guo, Yijia, et al.
Publicado: (2025)
por: Guo, Yijia, et al.
Publicado: (2025)
Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand
por: Tang, Yihong, et al.
Publicado: (2026)
por: Tang, Yihong, et al.
Publicado: (2026)
GTG: Generalizable Trajectory Generation Model for Urban Mobility
por: Wang, Jingyuan, et al.
Publicado: (2025)
por: Wang, Jingyuan, et al.
Publicado: (2025)
Leveraging RAG-LLMs for Urban Mobility Simulation and Analysis
por: Ding, Yue, et al.
Publicado: (2025)
por: Ding, Yue, et al.
Publicado: (2025)
Domain Specific Question to SQL Conversion with Embedded Data Balancing Technique
por: Jyothi, et al.
Publicado: (2025)
por: Jyothi, et al.
Publicado: (2025)
Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
por: Abdollahi, Armin, et al.
Publicado: (2024)
por: Abdollahi, Armin, et al.
Publicado: (2024)
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks
por: Mishra, Neel, et al.
Publicado: (2024)
por: Mishra, Neel, et al.
Publicado: (2024)
Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained Transformers
por: Stark, Philipp, et al.
Publicado: (2025)
por: Stark, Philipp, et al.
Publicado: (2025)
Weather-Related Crash Risk Forecasting: A Deep Learning Approach for Heterogenous Spatiotemporal Data
por: Ogungbire, Abimbola, et al.
Publicado: (2026)
por: Ogungbire, Abimbola, et al.
Publicado: (2026)
T-Graphormer: Using Transformers for Spatiotemporal Forecasting
por: Bai, Hao Yuan, et al.
Publicado: (2025)
por: Bai, Hao Yuan, et al.
Publicado: (2025)
Data-Driven Discovery of Mobility Periodicity for Understanding Urban Systems
por: Chen, Xinyu, et al.
Publicado: (2025)
por: Chen, Xinyu, et al.
Publicado: (2025)
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
por: Wang, Yu, et al.
Publicado: (2023)
por: Wang, Yu, et al.
Publicado: (2023)
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
por: Ali, Khalid, et al.
Publicado: (2025)
por: Ali, Khalid, et al.
Publicado: (2025)
Ejemplares similares
-
Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
por: Rashvand, Narges, et al.
Publicado: (2023) -
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
por: Lin, ChungYi, et al.
Publicado: (2024) -
Hybrid Quantum Reinforcement Learning with QAOA for Improved Vehicle Routing Optimization
por: Murthy, T. Satyanarayana, et al.
Publicado: (2026) -
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
por: Nie, Tong, et al.
Publicado: (2023) -
FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration
por: Wang, Binwu, et al.
Publicado: (2024)