01660956

Component

The increase in the market penetration of connected vehicles (CV) in the next few years will allow for a better estimation of system performance to support planning, planning for operations, and operations and management of transportation systems. The assessment of platooning measures on freeway facilities using CV data will help determine the stability and congestion level of the traffic stream. However, the parameters required to identify the platoons, such as time headway, will not be available based on data from low market penetrations of CV. Thus, other measures are needed for the estimation of platooning measures at lower CV market penetrations. This study utilizes two surrogate measures to estimate the percentage of vehicles in the platoon and the platoon size distribution: the standard deviation of speed between vehicles, and the average of the standard deviations of the speeds of individual vehicles. Relationships between the surrogate measures and platooning measures are then identified and utilized based on the available trajectories data. The results show that the platooning measures can be accurately and reliably estimated at relatively low CV market penetrations based on surrogate measures.

This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.

18-06055

English

15p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Connected vehicles; Freeway management systems; Traffic data; Traffic platooning

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-06055

TRIS, TRB, ATRI

Jan 8 2018 11:34AM