0% Complete
English
صفحه اصلی
/
دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Short-Term Traffic Flow Prediction Based on a Recurrent Deep Neural Networks: Study in Tehran
نویسندگان :
Monireh عبدوس
1
Taha Vajed Samei
2
1- شهید بهشتی
2- shahid beheshti university
کلمات کلیدی :
Intelligent transportation systems, Urban traffic prediction, Long short term memory, Deep learning.
چکیده :
With growing of population, the issue of optimal mobility between two points of the city has become one of the most important problems. There are various tools to suggest the optimal route, but due to the momentary changes in traffic in cities, especially large cities, providing the optimal route without predicting the traffic load will not be accurate. In this regard, it can be noted that one of the most widely used up-to-date methods is the use of deep neural networks to predict the future. In this paper, while examining some of the most widely used deep neural networks to predict traffic sequence, a method is presented based on one of recurrent neural networks. The method has been evaluated on real traffic data on a part of Tehran. The results show that the proposed method outperforms the other similar neural networks.
لیست مقالات
لیست مقالات بایگانی شده
A Hybrid Method to Reduce the Voltage Consumption in the Spiking Neural Networks
Shaghayegh Mehdizadeh saraj - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
Sparse Beamforming Design for Non-Coherent UD-CRAN with mm-Wave Fronthaul Links
Alireza M. Hosseini - Dr Abbas Mohammadi
شناسایی حسابهای چندکاربره بر اساس ویژگیهای شخصیتی کاربران در پلتفرمهای پخش فیلم
مهسا رضائی - مرجان کائدی
Energy–Aware Clustering Routing Protocol to Improve the Multi-hop WSN Lifetime
Alireza Gholamrezaee - Hoda Gholamrezaee - Mahtab Hadiyan
COVID-19 Image Retrieval Using Siamese Deep Neural Network and Hashing Technique
Farsad Zamani Boroujeni - Doryaneh Hossein Afshari - Fatemeh Mahmoodi
Comparative Study of Deep Reinforcement Learning and Genetic Algorithm Approaches for IoT Machine Learning Job Deployment in Fog Computing
Amir Moazeni - Omid Bushehrian
Enhancing QSAR Modeling: A Fusion of Sequential Feature Selection and Support Vector Machine
Farzaneh Khajehgili-Mirabadi - Mohammad Reza Keyvanpour
سیستم پیشنهاددهنده غذای سالم با استفاده از داده کاوی عادت های تغذیه ای کاربران
محمد عباسی - مریم حسینی پزوه - محمدرضا شمس
KGLM-QA: A Novel Approach for Knowledge Graph-Enhanced Large Language Models for Question Answering
Alireza Akhavan safaei - Pegah Saboori - Reza Ramezani - Mohammadali Nematbakhsh
Artificial Empathy in AI-Based Mental Health: A Review
Shabnam Moradi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.2