STOL-AMS / TO-22-Merge-CoordinationLinks
Merge coordination aims to minimize the negative impacts of the merging process on the target lane. The shockwave magnitude and duration resulted from a merging maneuver depends on the lane-changing trajectory, traffic conditions in the origin and target lanes, and the response of the vehicles in the target lane to lane-changing vehicle.
☆10Updated 5 years ago
Alternatives and similar repositories for TO-22-Merge-Coordination
Users that are interested in TO-22-Merge-Coordination are comparing it to the libraries listed below
Sorting:
- Analysis of various traffic signal control techniques in SUMO☆15Updated 6 years ago
- SUMO Simulation source code of the study - A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority☆15Updated 2 years ago
- The code used to generate and evaluate SUMO scenarios for measuring the safety and efficiency of low penetration rates of connected auton…☆14Updated 4 years ago
- - Create a queueing model at signalized intersections (e.g. shockwave profile model); - Create a simple SUMO network with traffic lights;…☆11Updated 3 years ago
- Modeling and control of mixed traffic flow☆49Updated last year
- A SUMO environment for differential varaible speed limits control☆49Updated 5 years ago
- Distributed Collaboration of Connected Autonomous Vehicles at Unsignalized Intersections using Parallel Monte Carlo Tree Search☆15Updated 3 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆59Updated 7 years ago
- sumo_learn_project☆44Updated 3 years ago
- Autonomous Intersection Management in SUMO traffic simulator achieved with Python and TraCI libraries☆13Updated 5 years ago
- This is a intelligent traffic control environment for Reinforcement Learning and relative researches. This environment is compatible with…☆14Updated 5 years ago
- A cell transmission model based on python☆48Updated 2 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆14Updated last year
- SUMO CAV deployment scenarios for [Gueriau and Dusparic 2020] paper presented at The 23rd IEEE International Conference on Intelligent Tr…☆20Updated 5 years ago
- Aiming at the problem of the traffic efficiency of intelligent networked vehicles passing through unsignalized-intersection in the future…☆46Updated 3 years ago
- a DRL-based vehicle scheduling algorithm☆31Updated 3 years ago
- A study code for HEVs eco-driving control☆22Updated 2 years ago
- Simulated in Simulation of Urban MObility (SUMO)☆17Updated 6 years ago
- Dayuan Tan's notes about learning SUMO. A very good guide for learning SUMO.☆21Updated last year
- SUMO chinese document translation project☆21Updated 4 years ago
- Python API for the SUMO environment of Plymouth Rd.☆14Updated 4 years ago
- Reinforcement learning based on ramp entrance and exit control of urban trunk roads☆50Updated last year
- ☆10Updated last year
- Multi-vehicle Coordinated Lane Change Strategy☆11Updated 5 years ago
- ☆13Updated 3 years ago
- Simulating V2V and V2I connectivity in Matlab using car following, lane changing models and entry and exit ramps on a 4-Highways, 3-Ramps…☆21Updated 10 years ago
- A SUMO simulator for platooning maneuvers in mixed traffic scenarios☆32Updated 6 years ago
- Dynamic Traffic Assignment☆16Updated 5 years ago
- ☆23Updated 3 years ago
- ☆11Updated 3 years ago