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Simulating Autonomous Vehicles in a Microscopic Traffic Simulator to Investigate the Effects of Autonomous Vehicles on Roadway Mobility

Lackey, Nathan
http://rave.ohiolink.edu/etdc/view?acc_num=osu1555072367385629

Abstract Details

2019, Master of Science, Ohio State University, Mechanical Engineering.
An increasing number of autonomous vehicles (AV) on roadways around the world brings about an uncertainty about how the AVs will affect roadway mobility regarding autonomous and non-autonomous vehicles. Previous research available in the literature has focused on modeling AVs in the commercial microscopic traffic simulator Vissim, whereas much less work has been reported based on the open-source and, hence, more widely available simulator Simulation of Urban MObility (SUMO). By understanding and adapting the works done in Vissim, AV models were developed within SUMO’s Intelligent Driver Model (IDM) car following and LC2013 lane changing models. These AV and non-AVs vehicle models were simulated on Columbus, Ohio roadway maps which include a low-speed shopping center, a multi-lane auxiliary interstate highway, and a two-lane US highway. The simulations focused on the impacts that AVs have on vehicle roadway mobility when the AVs have all the same autonomy level as well as when the AVs have mixed autonomy levels and other traffic may or may not be entirely non-AVs. This was performed for SAE autonomy levels 2, 3, and 4. The analysis revealed mixed results for the effects that AVs have on roadway mobility. Mobility of AVs increased as autonomy level increased for each of the three simulated roadways. This trait of increased mobility was shared by the non-AVs driving alongside same-level AVs on the multi-lane highway, but not for the non-AVs on the two-lane highway. Additionally, when the AV autonomy levels were mixed within the same simulations, the non-AVs experienced lower average speeds and decreased roadway mobility. These results provide a useful investigation into a potential downside to traffic flow when AVs begin entering roadways on a large scale and how simulations can be establishes in the open-source SUMO software.
Levent Guvenc (Advisor)
Bilin Aksun Guvenc (Committee Member)
133 p.
Mechanical Engineering
autonomous vehicles; simulation of urban mobility; SUMO; Vissim; microscopic traffic simulator; roadway mobility; vehicle autonomy; mixed traffic; traffic flow

Recommended Citations

Citations

  • Lackey, N. (2019). Simulating Autonomous Vehicles in a Microscopic Traffic Simulator to Investigate the Effects of Autonomous Vehicles on Roadway Mobility [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555072367385629

    APA Style (7th edition)

  • Lackey, Nathan. Simulating Autonomous Vehicles in a Microscopic Traffic Simulator to Investigate the Effects of Autonomous Vehicles on Roadway Mobility. 2019. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1555072367385629.

    MLA Style (8th edition)

  • Lackey, Nathan. "Simulating Autonomous Vehicles in a Microscopic Traffic Simulator to Investigate the Effects of Autonomous Vehicles on Roadway Mobility." Master's thesis, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555072367385629

    Chicago Manual of Style (17th edition)

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This open access ETD is published by The Ohio State University and OhioLINK.