Alessandro James Carenini

Abstract Dynamic congestion pricing is emerging as a potential approach to contemporarily manage traffic congestion and air quality. However, most toll road pricing strategies tend to rely on traditional solutions such as fixed or variable pricing, leading to suboptimal results in terms of traffic demand or pollution. In this paper, we propose a dynamic congestion pricing algorithm enabling to deal with both traffic congestion and PM2.5 levels reduction.