Open AccessApplication Study on Urban Road Volume-Time Function Based on RFID Data
Author(s) -
Jian Gu,
Linghua Yu,
Miaohua Li
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/787/1/012018
Subject(s) - volume (thermodynamics) , function (biology) , traffic volume , transport engineering , computer science , license , radio frequency identification , section (typography) , real time computing , data mining , engineering , computer security , physics , quantum mechanics , evolutionary biology , biology , operating system
Radio Frequency Identification (RFID) plays an important role on road traffic management and basic data could be collected from automotive electronic registration identifications, which could be applied for road traffic management and planning. Firstly, road section volume-time function was discussed in the paper, and then urban road RFID data collected from the city of Nanjing were analyzed with mature methods on identifying redundant and wrong data based on license plate number. Then the function from Bureau of Public Road (BPR) was calibrated to get the basic volume-time function with RFID data, and the basic function was improved based on the time periods, and the improved functions were used to describe relationships between volume and travel time in weekdays and weekends, and the fitting effect is compared with the basic function. It was indicated that the fitting effort R 2 was increased by 40% at least. The results can provide reference and support for urban road traffic planning.