An Improved Stop and Go Model Considering Exhaust Emissions for Connected Vehicles

Increasing vehicle ownership causes more and more serious urban traffic jam, meanwhile it also brings about much more idle time and exhaust emissions. The Stop and Go model is used to reduce stop time when vehicles drive at low speed status. With the development of connected vehicles, in this paper, an improved Stop and Go model is established considering low speed status of the leading vehicle and the following vehicle at the same time. Firstly, by combining the advantage of connected vehicles, the improved Stop and Go model chooses the minimum emissions as the control target. According to the emissions evaluation principle of Comprehensive Modal Emissions Model (CMEM), the objective function is established; secondly, in accordance with the actual traffic conditions and the operating conditions of the sample vehicle, the constraints are established; finally, the improved Stop and Go model is simulated based on Octave software. To prove the feasibility, we use CMEM to calculate the emissions of the following vehicle in the Stop and Go model and the linear Car-Following model. The results of exhaust emissions under two different models has been analyzed. Comparing with the linear Car-Following model, the HC emissions are reduced by 28%, CO emissions are reduced by 16%, and NOx emissions are reduced by 30%. Therefore, the improved Stop and Go model can effectively reduce the emissions of vehicle exhaust.