کنفرانس بین المللی فناوری اطلاعات و دانش

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 عبدوس¹ Taha Vajed Samei²

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

ElectroCNN: Regressive CNN-based Energy Consumption Forecasting Leveraging Weather Data

Dharmi Patel - Mann Patel - Krisha Darji - Rajesh Gupta - Sudeep Tanwar - Jitendra Bhatia - Hossein Shahinzadeh

Improving Drug-Target Interaction Prediction Using Enhanced Feature Selection

Maryam Taheri - Mohammad Reza Keyvanpour - Mohadeseh Saadat Mousavi

Mode Selection and Resource Allocation in D2D-Enabled MC-NOMA using Matching Theory

Alireza Gholamrezaee - Hamid Farrokhi - Javad Zeraatkar Moghaddam

An OWA-Powered Dynamic Customer Churn Modeling in the banking industry Based on Customer Behavioral Vectors

Masoud Alizadeh - Mohammad Soleymannejad - Behzad Moshiri

Non-Linear Control of Cancer Model, Considering the Drug Resistance Using Feedback Based Chemotherapy Approach

Danial Kiaei - Hami Tourajizadeh

A New Routing Protocol in Internet of Vehicles Inspired of Spread Model of the Covid-19 Virus

Taha Yasin Rezapour - Esmaeil Zeinali - Reza Ebrahimi Atani - Mohammad Mehdi Gilanian Sadeghi

سیستم توصیه گر برای خرید لوازم آرایشی و بهداشتی مبتنی بر الگوریتم جنگل تصادفی

فاطمه رمضانی خوزستانی - مجید رفیعی

A Demand Response Schema in Industry: Smart Scheduling Approach for Industrial Processes

Negin Shafinezhad - Hamid Abrishami - Maryam Mahmoodi

Sigma: A Secure Federated Network Gaming Platform

Keyhan Mohammadi - Reza Ebrahimi Atani

User Preferences Elicitation in Bilateral Automated Negotiation Using Recursive Least Square Estimation

Farnaz Salmanian - Dr Hamid Jazayeri - Dr Javad Kazemitabar

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.4