01657479

Component

Recently, traffic agencies have implemented Bluetooth Detection Systems (BDS) on arterials to collect data and purchased traffic data from private sector companies such as HERE, INRIX and TomTom for real-time traffic monitoring and long-term traffic system management and performance evaluation. However, the quality and reliability of the aforementioned two data sources are subject to rigorous evaluation. This study utilized high-resolution GPS trajectory data to evaluate private sector data from HERE and BDS of a principal arterial corridor in Orlando, Florida. The results showed that the accuracy and reliability of BDS data are better than private sector data on the study corridor, which might be credited to a better presentation of the bimodal traffic flow pattern on signalized arterials. In order to improve the quality of private sector data, information about bi-modal traffic flow was extracted by a finite mixture model from historical BDS data and incorporated with the real-time private sector data by a Bayesian inference framework. The evaluation of the augmented data showed that the augmentation framework is effective for the most part of the corridor except for segments highly influenced by traffic from or to the expressway ramps where evaluation datasets might have some bias.

This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems.

18-01590

English

8p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Accuracy; Arterial highways; Automatic data collection systems; Bayes' theorem; Bluetooth technology; Data quality; Evaluation; Global Positioning System; Traffic data; Traffic flow; Traffic surveillance

Orlando (Florida)

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

Transportation Research Board Annual Meeting 2018 Paper #18-01590

TRIS, TRB, ATRI

Jan 8 2018 10:24AM