Estimation Model and Its Realization of Routing Velocity Under Environment of Lack of Floating Car Data

Abstract:

After an introduction to the principle of floating car data (FCD),this paper puts forward the operation flow of preprocessing on FCD,and the algorithm of map-matching as well.Based on an analysis of the percentage of coverage of FCD on the road network,large quantity of heritage database of routing status is used to estimate the routing velocity when lack of FCD on parts road segments.Multi-linear regression model is then adopted by considering the spatial correlativity among the road networks,and some model parameters are determined when time interval is classified in day and week.Besides,error of velocity probability and error of status probability are achieved based on the result from field testing,while the feasibility and reliability of the velocity estimation model is obtained as well.Finally,as a case study in Shanghai center area,the whole routing velocity in the road network is estimated and published in real time for public.

Key words:road network; multi-linear regression; floating car data; velocity estimation