Micro Model Of Traffic Flow And Emissions Control Suffered From Cyber-attacks Under Connected Vehicles Environment

In the 21st century,the era of rapid development of information,the on-board equipment on the vehicle through wireless communication technology,the effective use of all the vehicle dynamic information in the information network platform,in the vehicle operation to provide different functional services.Not only to help drivers to real-time navigation,but also through communication with other vehicles and network systems,to provide protection for the spacing between vehicles,reduce the probability of vehicle collisions and improve the efficiency of traffic operation.But the Internet is also a double-edged sword,with advantages and disadvantages.When the vehicles run mainly on the internet,it will inevitably face the situation of internet problems.That is,when the network of connected vehicles is interrupted,it is easy to lead to more serious congestion and even accidents,which seriously worsens the traffic situation.At the same time,vehicles will emit more exhaust gas.Aiming at traffic congestion,it has already attracted the attention and research of experts and scholars,they have proposed a series of traffic flow models,such as cellular automata model,car-following model,lattice-Boltzmann model,lattice fluid dynamics model,etc.Among them,the car-following model is the most suitable for the actual traffic situation,and can depict the complex traffic system image succinctly.Therefore,based on the car-following model,this paper further studies the influence of cyber-attacks on the connected vehicles.Considering the delay effect of continuous information,the synergistic transmission effect of continuous memory and electronic throttle,and the tampering of the speed difference information on the ramp,the relevant dynamic model was established,and the stability analysis was carried out,so as to obtain the conditions for the vehicle system to maintain a steady state,resist cyber-attacks,and control pollution emission,which were verified by numerical simulation.The main contents of the thesis are as follows:Ⅰ.First of all,we discuss the impact of cyber-attacks on the traffic system and the countermeasures under the connected environment.a novel CM car-following model is provided with compensation algorithm for cyber-attacks on the CD effect（calledfor CACDE-CM model for simply）,which was established on the basis of CM car-following model proposed by Konishi et al.,and through the system control theory,the two situations of whether connected vehicles were subjected to cyber-attacks were analyzed and discussed respectively,so as to obtain the conditions for resisting cyber-attacks and maintaining the stability of traffic system.The simulation results show that:in the CACDE-CM following model,there is no normal transmission of CD effect in the case of cyber-attacks,which can obviously alleviate traffic congestion.In the case of cyber-attacks,the new compensation algorithm can effectively make up for the negative effects of cyber-attacks,improve the stability of the traffic system,and reduce emissions of CO₂,NO_x,PM10 and VOC.Ⅱ.Secondly,we propose a car-following model incorporating the CM and the ET under cyber-attacks and connected vehicles environment（CACV-CMET model for short）.Based on the consideration of electronic throttle,when the vehicles are running normally,the connected vehicles are controlled by the electronic throttle and the speed delay feedback information.When the connected vehicles are attacked,it will switch to the electronic throttle and continuous memory compensation information for control.Then,the stability analysis is carried out by the control theory to obtain the control and compensation parameter range of the vehicles system in the interconnection state.Numerical simulation is carried out.The results show that the new model can relieve traffic congestion and improve the stability of the traffic system,no matter whether the network car is attacked or not.Simulation results of fuel consumption and pollutants also show that continuous memory information compensation algorithm can effectively reduce fuel consumption,reduce CO,HC,NO_xand other pollutants emissions.Ⅲ.Finally,in order to get closer to the real traffic environment,under the connected environment,when the vehicles are driving on the complex ramp,the driving field of vision is greatly limited,and the vehicles driving need to rely more on electronic intelligent instruments.Therefore,vehicle driving not only needs to overcome the impact of gravity changes of the vehicle itself,but also needs to prevent the internal environment of the vehicles from being attacked when they exchange information with the outside world.Based on the trigger of cyber-attacks and aiming at false information,a novel car-following model is constructed by aggregating the tampered speed difference with compensation and gravitational action on slope lane under connected vehicles environment（called for TSDCG model for simply）.Then,the stability analysis is carried out by the control theory,and the compensation parameter range of the vehicle system in the interconnection state are obtained.Numerical simulation is carried out.The results show that the new model can alleviate and control traffic congestion and effectively improve the stability of the traffic system when the connected vehicles are attacked on both uphill and downhill.Simulation results of fuel consumption and pollutants also show that the compensation algorithm can effectively reduce fuel consumption,reduce the emission of CO,HC,NO_xand other pollutants.