MONITORING AND REDUCING VEHICULAR IMPACT ON AIR QUALITY AT INTERSECTIONS - A REAL CASE STUDY IN CHINA

Abstract

Air pollution has been a serious problem in China since many years. One of the main reasons for that is the rapid growth in motorized traffic which results in lots of traffic congestions in metropolitan areas. This study aims at monitoring and reducing traffic impact on air quality at intersections with use of the object detecting and tracking technique and the traffic signal control optimization. A field campaign is executed at a selected intersection in Hefei, China and the collected immission data is used for examining and ensuring the reasonability of the simulated emission productions. The simulative approach shows that the proposed signal control method greatly increases the efficiency of the traffic operation and, at the same time, reduces the amount of emission production. A field test of the proposed method is under preparation for verifying the simulation results and will be carried out within two months.