Pinned Repositories
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The 1st open-source traffic data & knowledge collection
-HMM-
本课题采用隐马尔可夫模型对高速公路交通量进行预测，收集了江苏省26条高速公路的断面交通量数据，分析其数字特征，对未来几个月的交通量进行准确预测。实际上，我们的模型是马尔可夫模型和更新模型的结合。
-python-
出租车项目python路径匹配
Awesome-Traffic-Prediction
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
E---
E题-第二十届**研究生数学建模竞赛（数据分析、解题思路、代码）
free
翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子
montreal_open_data
一个地方来托管我对来自蒙特利尔开放数据门户的蒙特利尔通勤数据的持续分析
The-data-mining-and-analysis-of-taxi-tracks
基于Python实现的武汉市出租车轨迹的数据挖掘与分析
trajectory_mining
trajectory mining tool function implement by python
Transportation_with_Machine_Learning
交通·未来系列线上公益学术活动PPT
silver331177's Repositories
silver331177/Transportation_with_Machine_Learning
交通·未来系列线上公益学术活动PPT
silver331177/aa274_autoware_ws
关于 基于Autoware的传感器融合和自动驾驶栈的实例代码
silver331177/Beijing_Daxuexi_Simple
北京 青年大学习 使用Github Actions自动完成
silver331177/Kalman-and-Bayesian-Filters-in-Python
卡尔曼/贝叶斯Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
silver331177/map_matching
Map matching
silver331177/MathModel
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
silver331177/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
silver331177/awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
silver331177/DynamicBayesianNetworks
Code for the implementation of various methods of Non-Homogeneous Dynamic Bayesian Networks inference
silver331177/ECCV2022-Paper-Code-Interpretation
ECCV2022 论文/代码/解读合集，极市团队整理
silver331177/filterpy
Python 卡尔曼过滤器和最佳计算器。现实卡尔曼过滤器、颗粒过滤器、扩展卡尔曼过滤器、无痕卡尔曼过滤器、gh (alpha-beta)、最小二次乘法、H Infinity、平滑器等。有配套书籍“Python中的卡尔曼和贝叶斯过滤器”。
silver331177/fmm
Fast map matching, an open source framework in C++
silver331177/Individual_level_trip_generatation
城市规模综合个人级车辆出行数据的出行生成代码
silver331177/Joint-traffic-light-control-and-vehicle-rerouting
Simulation code of paper "H. Zhu, Z. Wang, F. Yang, Y. Zhou and X. Luo, "Intelligent Traffic Network Control in the Era of Internet of Vehicles," in IEEE Transactions on Vehicular Technology, vol. 70, no. 10, pp. 9787-9802, Oct. 2021, doi: 10.1109/TVT.2021.3105478."
silver331177/MoSTScenario
摩纳哥 SUMO 交通 (MoST) 场景
silver331177/neural-transportation-networks
Data-driven neural models to learn and predict travel behavior in transportation networks using PyTorch
silver331177/noiseplanet
A Python package for Map Matching and Mapping. Research work for Noise Planet center.
silver331177/odnet
将OD数据集转换为线路网络的评价方法
silver331177/RL-for-Transportation
Paper list of Reinforcement Learning (RL) applied on transportation
silver331177/road_analytics
A set of Jupyter notebooks to support Road network analytics based on Open-Source and Open-Data
silver331177/sensor-fusion-for-localization-and-mapping
深蓝学院 多传感器定位融合第四期 学习笔记
silver331177/SLAM-All-In-One
SLAM汇总，包括多传感器融合建图、定位、VIO系列、常用工具包、开源代码注释和公式推导、文章综述
silver331177/space-time-network_optimization_4_transportation_logistics
silver331177/sparse_traj_adaptive_control
Adaptive control using sparse trajectory data.
silver331177/SpatialCluster_WHtaxi
基于武汉市出租车数据的聚类算法分析
silver331177/SUMOActivityGen
SUMO 的基于活动的多模式移动场景生成器。该项目在 Eclipse SUMO 贡献工具部分 ( https://github.com/eclipse/sumo/tree/master/tools/contributed )中可用，名称为 SAGA（SUMO 活动生成）。
silver331177/Top-AI-Conferences-Paper-with-Code
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
silver331177/topojson
Encode geographic data as topology in Python! 🌍 https://mattijn.github.io/topojson
silver331177/traffic-big-data-theory-and-applications
《交通大数据理论与方法》
silver331177/UrbanNavDataset
在亚洲城市峡谷（包括东京和香港）收集的本地化数据的开放源码