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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

01-mscnav

多传感器组合导航方案（GPS、IMU、Odo、Vision等）

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

aaai_melding_code

Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

airbnb

使用线性回归和 XGBoost 预测房地产价格。使用 OSMnx 和 OpenRouteService 进行地理空间分析，并使用 Folium 进行可视化。

anhuixuanchuang

arcgis-echarts

ArcGIS JS API插件，用于加载echarts地图并使大数据可视化更容易。

areacity-jsspider-statsgov

省市区县乡镇三级或四级城市数据，带拼音标注、坐标、行政区域边界范围；2023年04月03日最新采集，提供csv格式文件，支持在线转成多级联动js代码、通用json格式，提供软件转成shp、geojson、sql、导入数据库；带浏览器里面运行的js采集源码，综合了中华人民共和国民政部、国家统计局、高德地图、腾讯地图行政区划数据

arteries-based-traffic-control-methods

In this thesis there will be introduced two main traffic control methods, both were designed for networks with arteries. The permeability of these networks is bigger, and also the capability of travelling faster motivates the drivers to use the arteries thanks to the correct traffic light phases. Therefore fewer roads are used intensively and needs

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-bayesian-statistics

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

awesome-traffic-prediction

Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.

awesome-traffic-related-dataset

交通相关数据集

awesome-trajectory-prediction

awesome-transit

Community list of transit APIs, apps, datasets, research, and software :bus::star2::train::star2::steam_locomotive:

baidutraffic

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PYMC3)

bayesian_reasoning_traffic

bayesianbwm

贝叶斯

beijing_daxuexi_simple

北京 青年大学习 使用Github Actions自动完成

beijingtaxiflows

北京10357辆出租车一周轨迹

cavsafetyandefficiencysumo

The code used to generate and evaluate SUMO scenarios for measuring the safety and efficiency of low penetration rates of connected autonomous vehicles.

ceen565

城市交通规划的笔记和作业

cgnetworkmodel

Computational graph-based transportation network models

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能/PDF论文全文翻译功能