Abstract: Transportation infrastructure scale is constrained by many factors ,due to the limited space of the cities . Traffic congestion will affect people's daily life in a long time with the rapid increase of vehicle population .The mean heart rate is selected as an indicator to quantify the impact of traffic congestion on the driver's physiological and psychological status .Moreover ,the impact of traffic congestion level on the driver's heart rate characteristics is studied based on a large number of measured data .In addition ,the relational model between mean heart rate and pressure coefficient is estab-lished .Research shows that the effect of traffic congestion on heart rate characteristics is significant ,and that the deter-mination coefficient of the goodness-of-fit of the three regression models can be above 0 .6 with the best regression result of the quadratic polynomial .The results can provide a theoretical support for the efficiency and safety evaluation of traffic congestion .