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ENHANCING THE SIDE TO MAIN STREET MERGING USING AUTONOMOUS VEHICLE TECHNOLOGY

Alisary, Himani
http://rave.ohiolink.edu/etdc/view?acc_num=akron1481208002493835

Abstract Details

2016, Master of Science, University of Akron, Civil Engineering.
Experimenting with technology has always contributed immensely to interesting inventions in the field of automation. With the increasing population, the demands associated to transportation needs also increase, the reason why the Transportation Engineers and the respective industries have begun to develop and implement new and innovative ways to help increase the carrying capacities of roads, decrease traffic congestion and vehicle collisions. To help stabilize this impact on the transportation system, the design and development of connected and autonomous vehicles is marking its place in the existence to combat effective traffic management. Automated Vehicle (AV) inventory proves to have fourfold impacts on the traffic flow theory. The traffic flow theory as such comprises of parameters highly influencing the way the A.V. technology is expected to work its best on the local roads. Experiments have begun as early as 1920s implementing different levels of automation with promising trails taking place simultaneously but it was during late 1980s where the first self-sufficient and truly fully autonomous car appeared on the road. The implementation of autonomous vehicle technology is used in different aspects of traffic and transportation engineering to study and deal with specific outcomes to advance the research on this technology further into complete practical application. Intersections where traffic from the minor street entering the major has always been a serious cause of congestion, queue, delays and safety concern. In this research, it is specifically studied and analyzed, the major difference an intersection can experience by including autonomous vehicles in the flow that prove to provide more gaps for the merging traffic from the minor street with absolutely zero interference to the existing traffic flow, maintaining higher safety throughout the operation. The A.V.’s were introduced in the major street as different percentages to study the increasing gaps created for the traffic in the minor as such. Besides explaining the theoretical approach to the application of this scenario, the described intersection was built as a model in VISSIM simulation software where programming part was done using VISSIM’s API (Application programming interface) using the C++ Visual Studio and a connection to the VISSIM was accomplished through the C2X application that has its coding done in Python Script. The C2X is the application that enabled to control the speed and position of the A.V.’s so the logic could be built and studied. The simulation in VISSIM was run and the results showed improved delay time and queue length. The exact scenario was modelled in Synchro 5, a traffic simulation software, to study the percentage changes in the capacity and control delay. To summarize, there was a great improvement for the intersection study with the inclusion of A. V’s for the betterment of effective traffic management. However, further research is always recommended to study and apply similar logics to model multiple intersections to enhance implementation.
Ping Yi, Dr. (Advisor)
73 p.
Civil Engineering; Transportation

Recommended Citations

Citations

  • Alisary, H. (2016). ENHANCING THE SIDE TO MAIN STREET MERGING USING AUTONOMOUS VEHICLE TECHNOLOGY [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1481208002493835

    APA Style (7th edition)

  • Alisary, Himani. ENHANCING THE SIDE TO MAIN STREET MERGING USING AUTONOMOUS VEHICLE TECHNOLOGY. 2016. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1481208002493835.

    MLA Style (8th edition)

  • Alisary, Himani. "ENHANCING THE SIDE TO MAIN STREET MERGING USING AUTONOMOUS VEHICLE TECHNOLOGY." Master's thesis, University of Akron, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1481208002493835

    Chicago Manual of Style (17th edition)

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This open access ETD is published by University of Akron and OhioLINK.