Real-time traffic analysis through integration of road traffic prediction and traffic microsimulation models

A method for forecasting a vehicle traffic condition in a near future, the method comprising:

• estimating traffic data including:
• a traffic speed and volume in a traffic link, the traffic link referring to a portion of a traffic road where the traffic prediction tool is installed;
• estimating a weighted average turning percentage in the traffic link based on the estimated traffic data by calculating a first multiplication of a weight assigned to each diverging link and a historical turning percentage representing prior turning percentage of the each diverging link, a second multiplication of the weight and a vehicle diverging rate to the each diverging link during a time interval, and an addition of the first multiplication and the second multiplication;
• and
• computing, based on the estimated turning percentage and the estimated traffic data, an expected traffic volume in the traffic link,
• wherein the traffic prediction tool, the turning percentage prediction module and the simulation tool are pipelined so that the traffic prediction tool, the turning percentage prediction module and the simulation tool finish respective operations at a same time by being synchronized according to a signal, and a plurality of stages, each stage running in parallel, the each stage corresponding to the traffic prediction tool, the turning percentage prediction tool and the simulation tool,
• wherein a computing system that comprises at least one processor and at least one memory device connected to the processor performs the estimating the traffic data, the estimating the turning percentage, and the computing the expected traffic volume.

A computer program product for forecasting a vehicle traffic condition in a near future, the computer program product comprising a non-transitory storage medium readable by a processing circuit and storing instructions run by the processing circuit for performing a method, the method comprising:

• estimating traffic data including:
• a traffic speed and volume in a traffic link, the traffic link referring to a portion of a traffic road where the traffic prediction tool is installed;
• estimating a weighted average turning percentage in the traffic link based on the estimated traffic data by calculating a first multiplication of a weight assigned to each diverging link and a historical turning percentage representing prior turning percentage of the each diverging link, a second multiplication of the weight and a vehicle diverging rate to the each diverging link during a time interval, and an addition of the first multiplication and the second multiplication;
• and
• computing, based on the estimated turning percentage and the estimated traffic data, an expected traffic volume in the traffic link,
• wherein the traffic prediction tool, the turning percentage prediction module and the simulation tool are pipelined so that the traffic prediction tool, the turning percentage prediction module and the simulation tool finish respective operations at a same time by being synchronized according to a signal, and a plurality of stages, each stage running in parallel, the each stage corresponding to the estimating the traffic data, the estimating the weighted average turning percentage and the computing.