Optimization Study of Urban Intelligent Green Mobility Chain Based on Dual-Carbon Background

Taking Bengbu City in Anhui Province as an Example

Abstract

In recent years, with the rapid development of the economy, the pollution caused by the problem has aroused widespread concern in society, in the country put forward the "carbon peak", "carbon neutral" in the context of the transportation industry as a large carbon emissions, how to effectively solve the carbon emissions is also an important issue in the process of realizing the goal of "carbon emission", and then the urban residents travel chain carbon emissions also need to be solved. How to effectively solve the carbon emission is also an important issue in the process of realizing this goal, and then the carbon emission problem of urban residents' travel chain also needs to be solved urgently. Based on the MaaS (Mobility as a Service) system, the authors propose a new optimization model to build a multi-modal transportation intelligent travel chain to and travel route recommendation. Through the establishment of a new path planning system, to achieve the result of travel costs, time, carbon emissions system optimal, and travel system simulation simulation, for the realization of energy saving and emission reduction, the realization of low-carbon travel has a certain degree of help.