iyangli / Car-following-Model-CalibrationView external linksLinks
☆14Mar 21, 2022Updated 3 years ago
Alternatives and similar repositories for Car-following-Model-Calibration
Users that are interested in Car-following-Model-Calibration are comparing it to the libraries listed below
Sorting:
- add this later☆10May 22, 2021Updated 4 years ago
- Source code for paper "FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling"☆65Nov 25, 2023Updated 2 years ago
- ☆13Jul 23, 2023Updated 2 years ago
- Code for a car-following model that predicts the acceleration of a car for the next time step based on headway and velocity data.☆34Nov 1, 2018Updated 7 years ago
- Lane change detection on NGSIM dataset☆18Aug 5, 2023Updated 2 years ago
- ☆44Feb 23, 2025Updated 11 months ago
- Simulation of car following model☆22Sep 11, 2022Updated 3 years ago
- This database contains codes and processing data for driving style recognition based on Lankershim vehicle trajectory data. For example, …☆20Jul 6, 2022Updated 3 years ago
- Open code of my published paper: Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforc…☆33May 6, 2025Updated 9 months ago
- analyzing NGSIM database: Car Following, Lane Changing☆33Oct 27, 2019Updated 6 years ago
- ☆31Jan 20, 2022Updated 4 years ago
- Code for an optimal velocity model (OVM) and a multiple car following (MCF) model☆11Sep 14, 2018Updated 7 years ago
- Dynamic obstacle avoidance using MPC☆10Jun 23, 2021Updated 4 years ago
- The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Sign…☆36Aug 28, 2022Updated 3 years ago
- ☆11Dec 23, 2024Updated last year
- ☆10Jul 9, 2025Updated 7 months ago
- ☆15Jun 4, 2024Updated last year
- This code was written quite some time ago for the purpose of processing the NGSIM dataset. While it might not be the epitome of organizat…☆10Oct 5, 2023Updated 2 years ago
- ☆14Oct 16, 2024Updated last year
- Car following model created in Matlab/Simulink using the Intelligent Driver Model (IDM)☆55Mar 15, 2018Updated 7 years ago
- Driving cycles and power system data for eco-driving and energy management of hybrid electric vehicles.☆16Sep 25, 2024Updated last year
- Distributed DeeP-LCC for CAV cooperation in mixed traffic☆12Oct 24, 2022Updated 3 years ago
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆11Feb 8, 2022Updated 4 years ago
- ☆12Apr 4, 2024Updated last year
- ☆11Nov 23, 2021Updated 4 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆58Feb 12, 2025Updated last year
- CS525/DS595 Course Project - Deep Reinforcement Learning for Decision Making in Autonomous Driving☆13Dec 12, 2022Updated 3 years ago
- Create Custom GYM Environment for SUMO and reinforcement learning agant☆15May 5, 2023Updated 2 years ago
- ☆11Jan 18, 2022Updated 4 years ago
- Code Replication for "A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillat…☆20Mar 6, 2024Updated last year
- These codes were written a long time ago,which is simple for car following. The car in front can be in IDM mode or constant speed mode. I…☆14Oct 6, 2023Updated 2 years ago
- Different implementations of Bayesian neural networks for uncertainty estimation. The uncertainty estimation is utilized for efficient ex…☆10Nov 29, 2020Updated 5 years ago
- Implementation of a Deep Reinforcement Learning agent that is capable to share the last-level-cache of a multi-core system, between a Lat…☆10Nov 10, 2021Updated 4 years ago
- pytorch implementation of DQN, NAF, DDPG☆13Jun 7, 2018Updated 7 years ago
- Code for IEEE transactions on neural networks and learning system☆13Jun 18, 2021Updated 4 years ago
- Codes of "Cooperative Lane Change Motion Planning of Connected and Automated Vehicles: A Stepwise Computational Framework"☆13Dec 1, 2018Updated 7 years ago
- trajectory prediction using NGSIM. ECE 228 Sp22☆14Jun 10, 2022Updated 3 years ago
- 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读 者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系sc…☆12Jul 5, 2019Updated 6 years ago
- Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models.☆11Dec 10, 2021Updated 4 years ago