A traffic-flow parameters evaluation approach based on urban road video

Abstract

This paper presents an approach to evaluate traffic-flow parameters under urban road environment. Virtual line based time-spatial images are used for vehicles counting. Three error impacts in complex urban road environments are discussed and related methods are proposed to improve detection rate. These impacts include traffic congestion impact, environments impact and night vehicle headlight impact. The experimental results on real road videos show that the time-spatial method is robust in complex lighting and traffic environment.