biostudies-literatureChen ZScience and Technology Innovation Foundation of Henan Agricultural UniversitySpecial Fund for Topnotch Talent at Henan Agricultural UniversitySocial Science Planning Foundation of Henan ProvinceNational Natural Science Foundation of ChinaProject funded by China Postdoctoral Science Foundation2365-2384https://www.ebi.ac.uk/biostudies/studies/S-EPMC9066146biostudies-literatureUnknown24(8)With the acceleration of urbanization, traffic congestion and vehicle exhaust pollution are becoming increasingly serious problems. Focusing on the problem of urban pollution from vehicle exhaust, this study used system dynamics to establish an urban congestion mitigation and emission-reduction management model. Specifically, a nonlinear function that integrates system dynamics and a non-homogeneous discrete grey model (SD-NDGM) was used to construct an algorithm, which improved the accuracy of the model. Thereafter, the mid- and long-term effects of the restriction policy were explored. The main findings from dynamic model simulations were as follows: All types of restrictions alleviated traffic congestion to varying degrees, but "odd and even" restrictions had more obvious effects, with Clean technologies and environmental policyEffect of urban traffic-restriction policy on improving air quality based on system dynamics and a non-homogeneous discrete grey model.PMC90661463050064611901167KJCX2021B05KJCX2021B042019BJJ0382021M690889Zan ZChen ZJia SfalseEffect of urban traffic-restriction policy on improving air quality based on system dynamics and a non-homogeneous discrete grey model.With the acceleration of urbanization, traffic congestion and vehicle exhaust pollution are becoming increasingly serious problems. Focusing on the problem of urban pollution from vehicle exhaust, this study used system dynamics to establish an urban congestion mitigation and emission-reduction management model. Specifically, a nonlinear function that integrates system dynamics and a non-homogeneous discrete grey model (SD-NDGM) was used to construct an algorithm, which improved the accuracy of the model. Thereafter, the mid- and long-term effects of the restriction policy were explored. The main findings from dynamic model simulations were as follows: All types of restrictions alleviated traffic congestion to varying degrees, but "odd and even" restrictions had more obvious effects, with 2022-01-01T00:00:00Z20222026-05-09T23:50:08.769Z2022-07-09T18:54:25.264ZS-EPMC90661463553108110.1007/s10098-022-02319-9