Coordinated Control Of Urban Arterials Considering Emission Characteristics Of Multiple Vehicle Types

In recent years, with the massive increase in vehicle ownership, emissions from vehicular traffic has become a major source of air pollution in metropolitan areas. Moreover, traffic signals at intersection can interrupt traffic flow and create deceleration, acceleration and idle driving modes, vehicles in these driving modes produce more traffic emissions. These traffic pollutants has brought great negative effects on health and living conditions. Therefore, while decision-makers in urban traffic signal control are considering traffic congestion, also consider traffic emissions. For the above reasons, the paper formulate a coordinated control of urban arterials considering vehicle emission characteristics.At first, the paper formulate a multi-vehicle cell transmission model, owe to the heterogeneous mobility of vehicles. This model can describe traffic dynamics, and capture the impact of time-dependent traffic characteristics on emissions. Based on the model, a coordinated control model is formulated to minimize the total traffic delay, and optimize the cycle length, green splits, offsets and phase sequences; In addition, we use the traffic data from the cell transmission model to judge the vehicle driving models, and formulate a multi-vehicle emission model using the average emission rate. Following, we formulate a bi-objective optimization model to determine timing plans for coordinated traffic signals along arterials to minimize the total traffic delay and the total traffic emissions. At last, the two optimal objective are converted into proper dimensionless indexes, and it is solved via a simulation-based genetic algorithm. A numerical example is presented to demonstrate the model and the algorithm.In this paper, the model is formulated on the basis of multi-vehicle cell transmission model, and the application is easy to extend to the road network, which can be used to the dynamic traffic flow of the whole road network. Therefore, this model has the potential to apply the road network. In addition, this paper takes the minimum of delay and traffic emissions as objective function, and has a high value of practical application, which can provide a reference in theory and method for the traffic management department and managerial personnel.