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Synthetic Innovation to Complex Intersection Control: Intelligent Roundabout in Connected Vehicle Environment

Annam, Raja Bharat
http://orcid.org/0000-0001-7482-2515
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169949508287

Abstract Details

2021, MS, University of Cincinnati, Engineering and Applied Science: Civil Engineering.
The traffic signal control strategies mainly depend on historical field data, and advanced practices rely on the infrastructure-based vehicle detector data as input to control logic. Few signalized intersections which are narrowly spaced falls to failure even in advanced traffic signal control strategies. This challenge has introduced to coin the terms “complex intersections”, “intelligent roundabout”, and “synthetic innovation”. Complex intersections are those that fail to effectively accommodate the high-demanding traffic due to narrow spacing between the adjacent intersections or those with adversely higher number of approach legs. This study focusses on converting signalized intersections into a specialized roundabout that can be sustainable in a signalized corridor/network to reduce the disadvantages of the signalized complex intersections. The expanding technology of advanced wireless communication has been implemented to the vehicular and infrastructural level in form of Connected Vehicles (CVs) and upgraded Road Side Equipment (RSE). This connectivity in transportation network can provide an opportunity to formulate a data platform which allows data transfer among vehicles and infrastructure. The specialized roundabout that can tap the potential of emerging Connectivity between the vehicles and infrastructure through the Connected and Automated Vehicles (CAVs) is coined as the Intelligent Roundabout (IR). IR addresses the geometric design problem of the intersection by reducing the conflict points, reducing intersections, and address traffic control through synthetic innovation of optimizing immediately connected signalized intersections. Such an IR is aimed to communicate with the adjacent signalized intersections through the vehicle to infrastructure (V2I) to control the random and unfavorable arrival flows through virtual critical points along with the approaches of the roundabout leading to the coining of the term “synthetic approach”. This research has focused on converting series of signalized intersections termed complex intersection into the intelligent roundabout without metering in any of the approaches. The virtual critical points which are synthetic (non-existing physically) in CV environment but are replacement to the physical detector to optimize the connected signals. The modeling framework is defined through an algorithm of the simulation-based testbed for the development of IR. The algorithm is developed for the upstream network approaches of IR to identify the traffic state based on volume and approach and is defined as per Highway Capacity Manual 2016. The connected signalized intersections of the corridor are then optimized based on the delay inside the roundabout and queue length formed on each approach through previously defined critical points, and simultaneously the individual approach is ranked to clear the queue length and reduce the overall delay of the roundabout. The performance measures are then measured using the microsimulation software VISSIM. In this software, the driver behavior parameters are changed according to the scenario of the vehicle’s compositions such as human driven vehicles and CAVs. The improvement in performance measures like control delay, average travel speed, queue length, and overall fuel emission over the complex intersection is compared over the different market penetration rates of CAVs in the IR network.
Heng Wei, Ph.D. (Committee Chair)
Na Chen, Ph.D. (Committee Member)
Hazem Elzarka, Ph.D. (Committee Member)
75 p.
Civil Engineering
Intelligent Roundabout; Connected Automated Vehicles; Complex Intersections; Roundabout; Connected Infrastructure; Signal Optimization

Recommended Citations

Citations

  • Annam, R. B. (2021). Synthetic Innovation to Complex Intersection Control: Intelligent Roundabout in Connected Vehicle Environment [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169949508287

    APA Style (7th edition)

  • Annam, Raja Bharat. Synthetic Innovation to Complex Intersection Control: Intelligent Roundabout in Connected Vehicle Environment. 2021. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169949508287.

    MLA Style (8th edition)

  • Annam, Raja Bharat. "Synthetic Innovation to Complex Intersection Control: Intelligent Roundabout in Connected Vehicle Environment." Master's thesis, University of Cincinnati, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169949508287

    Chicago Manual of Style (17th edition)

ucin1623169949508287
146
© 2021, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.