flaredragon / traffic-congestion-prediction
Proposed Proof of Concept to solve Traffic Congestion and Prediction Problem for Smart Cities by using LSTM(for future prediction) + CNN(To detect traffic density) + using tweets and combine all three to produce a traffic congestion factor and suggest routes based on that using Google API at any time in future.
☆13Updated 2 years ago
Alternatives and similar repositories for traffic-congestion-prediction:
Users that are interested in traffic-congestion-prediction are comparing it to the libraries listed below
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆87Updated 6 years ago
- A system and method for the prediction of vehicle traffic congestion on a given roadway within a region. In particular, the computer impl…☆42Updated 2 years ago
- a model for traffic flow forecast☆29Updated 6 years ago
- 交通流量多模型预测☆45Updated 4 years ago
- Traffic Prediction using LSTM method.☆56Updated 8 years ago
- short term traffic forecasting using deep learning architectures☆20Updated last year
- A time series task- predicting traffic flow using LSTM model☆21Updated 4 years ago
- dc数据竞赛 汽车出行预测☆10Updated 6 years ago
- This repository includ LSTM(test)、VanillaLSTM、ConvLSTM works for graduation project about TrafficFlowPredict.☆8Updated 4 years ago
- Algorithms for prediction of congestion from Network State☆16Updated 4 years ago
- 分别使用三种图卷积做一个简单的交通流量预测模型。☆35Updated 4 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- Road safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roa…☆14Updated 4 years ago
- 交通流预测☆17Updated 4 years ago
- 交通流量预测项目在研，以下是本人学习过程中积累整理的资源，会持续更新☆209Updated 4 years ago
- 2019年广西人工智能设计大赛：交通-地铁客流量预测Baseline（三等奖）☆49Updated 3 years ago
- 基于图注意力模型（GAT）的交通网络流量预测☆11Updated 2 years ago
- 城市交通道路流量预测☆48Updated 6 years ago
- research survey of traffic prediction☆25Updated 7 years ago
- 《交通大数据理论与方法》☆161Updated 2 years ago
- 时间序列ARIMA模型的销量预测☆60Updated 6 years ago
- Spatial-Temporal Graph Convolutional Neural Network with LSTM layers☆12Updated 4 years ago
- Traffic Flow Prediction using LSTM and GRU implemented using Noisy Activation Functions☆11Updated 7 years ago
- 利用时间序列预测汽车销量☆37Updated 6 years ago
- 利用已有的地铁流量历史数据建立模型，实现数据间存在的关联，为该城市未来一天的地铁流量进行一个较为准确的预测☆24Updated 5 years ago
- Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using …☆31Updated 3 weeks ago
- A dataset for understanding urban transportation. This is an urban traffic speed dataset, which consists of 214 anonymous road segments w…☆29Updated 6 years ago
- Deep model for accident risk prediction over sparse traffic data☆42Updated 4 years ago
- Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter☆13Updated 4 years ago
- Transportation Forecasting Competition☆23Updated 6 years ago