Research On Passenger Simulation In Rail Transit Transfer Station By Net Logo

Urban rail transit is the backbone of urban public transport.Transfers between track lines need to be achieved through transfer stations.With the increasing of passenger flow,the chaotic transfer organization at the rail transit station and low service efficiency is a major problem.In order to improve the service level of the rail transit transfer system,the study of passengers in transfer stations is particularly important.It is great significance to study the behavior of passengers and establish a model of passenger behavior.Such us to optimize rail station traffic organization,improve transfer efficiency,increase passenger satisfaction,and increase the social benefits of urban public transportation.In this thesis,Chongqing Lianglukou Rail Transit Interchange Station has been taked as an example to conducted field survey and data collection.Classified the different service facilities in the payment area and analyzed the behavior of passengers,studied passenger traffic characteristics,and drawed passenger flow charts at different service facilities.SPSS and Excel software were used to conduct descriptive statistical analysis of the survey data.In this dissertation,the integration model of agent model and cellular automata model was improved,which mainly includes two aspects.The first is the passenger agent attribute models,which includes individual passengers,peer groups,and speed and acceleration models.The second is to built passenger movement rules,including passenger target,movement,and collision detection models.The target model is further divided into global and local targets,and A*algorithm and Logistic model are adopted respectively.In this paper,a cross-impact collision detection method based on triangle area method was proposed in the collision detection model,which effectively solves the cross-collision problem.In terms of collision avoidance,the method of larger personality value was proposed,namely,conservative passengers choosed to waiting.Passenger behavior simulation analysis based on NetLogo.Firstly,the simulation update mode was analyzed,an update mode suitable for passenger behavior simulation was proposed,and a one-way channel simulation system is established.Secondly,the passengers in the channel are simulated,and the speed and density obtained by the simulation are analyzed,and compared with the actual data to verify the feasibility of the passenger movement rule models.The peer group factor was added to the crowd.The simulation analysis was performed using two peer groups as an example.The results showed that the peer group simulation results were more accurate than the individual passenger simulation results;at the same time,it was also found that different proportions of peer groups had a movement speed to the crowd.Significant influence.When the population density was 2 persons/m~2 and the proportion of the peer group was 0.1,0.4,and 0.9,the velocity values were 0.7086 m/s,0.5485 m/s,and 0.3379 m/s,respectively,which was relative to the population without consideration of the peer group factor.The speed(0.7124 m/s)decreased by 0.54%,23%,and 47%,respectively.Finally,simulation analysis was performed on the transfer channels of different widths.Simulation results showed that the effect of channel width on the population velocity-density curve was not significant;in addition,when the total number of people in the system was constant,increasing the width of the channel could increase the speed of crowd movement,but both showing a non-linear relationship.