Description: 4-way 3-dedicated-lane autonomous intersection management system implemented in ros assuming fully autonomous (level 5) vehicles
Authors Ahmed Fayed: Fayed@usc.edu & Alex Winger: Winger@usc.edu
To run this project please follow the steps below:
Clone repository into local folder and run:
cd aim_ros (Go to the reepository directory)
catkin_make
source aim_ros/devel/setup.bash
roslaunch aim aim.launch
Designed for CS646 Coordinated Mobile Robotics
[1] The Texas A&M Transportation Institute. 2019 Urban Mobility Report. Texas, Aug. 2019. Retrieved from https://static.tti.tamu.edu/tti.tamu.edu/documen ts/mobility-report-2019.pdf
[2] K. Dresner and P. Stone, “A Multiagent Approach to Autonomous Intersection Management,” Journal of Artificial Intelligence Research, vol. 31, no. 1, pp. 591– 656, Jan. 2008
[3] K. M. Dresner, Autonomous Intersection Management. University of Texas at Austin, Dec. 2009. Retrieved from https://repositories.lib.utexas.edu/handle/2152/E TD-UT-2009-12-689
[4] National Academies of Sciences, Engineering, and Medicine 2015. Signal Timing Manual - Second Edition. Washington, DC: The National Academies Press. https://doi.org/10.17226/22097.
[5] STL file used for Tesla Model S (tesla_model_s.stl) credited to mattreidy on Thingiverse.com is licensed under the Creative Commons - Attribution - Non-Commercial - Share Alike license. https://www.thingiverse.com/thing:601031/files