Performance Measures for Optimizing Diverging Interchanges and Outcome Assessment with Drone Video

Author:

Hainen Alexander M.1,Stevens Amanda L.2,Day Christopher M.3,Li Howell3,Mackey Jamie4,Luker Matt4,Taylor Mark4,Sturdevant James R.2,Bullock Darcy M.3

Affiliation:

1. University of Alabama, P.O. Box 870205, Tuscaloosa, AL 35487-0205.

2. Indiana Department of Transportation, 8620 East 21st Street, Indianapolis, IN 46219.

3. Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907-2051.

4. Utah Department of Transportation, 2060 South 2760 West, Salt Lake City, UT 84104.

Abstract

Diverging diamond interchanges (DDIs) are an emerging interchange configuration that eliminates the need for left-turn phases in conventional diamonds and may be less expensive to construct than some alternative geometries. This paper examines signal timing for DDIs. DDI signal timing typically has used a two-phase configuration that reflects the two competing movements at the crossover points at each inter section of the DDI. This configuration inherently contains some inefficiency: (a) there is potential for internal queuing under two-phase configuration and (b) it is possible for the inflow demand to exceed outflow capacity of the interchange. This paper uses high-resolution event data to develop performance measures for evaluating operations at a DDI in Salt Lake City, Utah. Alternatives to the existing signal timing within the two-phase configuration are modeled and tested with a field deployment. The field deployment demonstrated the ability to prioritize ramp or through vehicles within the two-phase configuration. Additionally, a new three-phase configuration was developed and deployed to address the internal queuing that occurs with two-phase timing. With this new configuration, the flows from one DDI intersection to the other are balanced, and progression within the DDI is improved. With the implementation of the three-phase configuration, the percentage of vehicles arriving on green at the heaviest internal movement within the DDI increased from 53% to 92%. To illustrate these performance measures and improved DDI operation qualitatively, a video from a tethered unmanned aerial vehicle demonstrated the vehicle arrival characteristics by overlaying vehicle detection and signal state graphics on the video.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning-Based Pothole Detection System with Aerial Image;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

2. Application of Unmanned Aerial Vehicles for Monitoring Airport Asset Surfaces;Transportation Research Record: Journal of the Transportation Research Board;2022-08-25

3. Concurrent Optimization of Cycle Length, Green Splits, and Offsets for the Diverging Diamond Interchange;Transportation Research Record: Journal of the Transportation Research Board;2022-06-08

4. Safety Performance Evaluation of the New Mega Elliptical Roundabout Interchanges Using the Surrogate Safety Assessment Model;Journal of Transportation Engineering, Part A: Systems;2020-12

5. Validation of Traffic Simulation Model Output Using High-Resolution Video by Unmanned Aerial Vehicles;International Conference on Transportation and Development 2019;2019-08-28

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