Abstract: Traffic safety has become one of the most critical issues in the social development. In the traditional exposure measurement, vehicle miles traveled is the most frequently used technique. The issues associated with the use of quasi-induced exposure are that it lacks the systematic data screening process and theoretical validation on the underlying assumptions. In the meanwhile, there are problems of using the non-driving related behaviors or traffic tickets in the assignment of crash responsibility. The application of quasi-induced exposure theory is able to quantify the crash propensity of the driving cohorts and thus accurately reflect the varying spatial and temporal conditions of crash environments and the discrepancy of the driving populations. In the future development of quasi-induced exposure, the research should be directed to develop the systematic procedure to screen crash data, conduct statistical methods to reveal inherent problems of crash data, and stipulate the according schemes to manipulate the data. From the aspect of responsibility assignment, the research should introduce weights into the causal factors, and assign the faults to the involved drivers through the fault-assignment models. Finally, the authors attempt to establish the application guidelines of quasi-induced exposure through the theoretical validations on the assumptions.