Author(s)

Enrique Saldivar-Carranza, Jijo K. Mathew, Howell Li, Darcy M. Bullock

Purdue University, West Lafayette, USA.

There are over 8000 roundabouts in the United States. The current techniques for assessing their performance require field counts to provide inputs to analysis or simulation models. These techniques are labor-intensive and do not scale well. This paper presents a methodology to use connected vehicle (CV) trajectory data to estimate delay and level of service for roundabout approaches by adapting the Purdue Probe Diagram used for traffic signal analytics. By linear referencing vehicle trajectories with a particular movement based on the location and time they exit a roundabout, delay can be calculated. The scalability is demonstrated by applying these techniques to assess over 100 roundabouts in Carmel, IN during the weekday afternoon peak period in July 2021. Over 264,000 trajectories and 3,600,000 GPS points were analyzed to rank over 300 roundabout approaches by delay and summarize in Pareto-sorted graphics and maps. The paper concludes by discussing how these techniques can also be used to analyze queue lengths and origin-destination characteristics at roundabouts. The methodology presented in this study can be used by any agency that wants to assess the performance of all roundabouts in their system.

Roundabout, Performance Measure, Connected Vehicle, Big Data

Saldivar-Carranza, E. , Mathew, J. , Li, H. and Bullock, D. (2022) Roundabout Performance Analysis Using Connected Vehicle Data. Journal of Transportation Technologies, 12, 42-58. doi: 10.4236/jtts.2022.121003.