Research On The Optimal Path Analysis Technology For Barrier-free Intelligent Trip Of Metro

As an important part of public transport,urban rail transit has become one of the preferred means of transportation.Nowadays,the disabled group in our country is still a relatively large group.Due to physical conditions,their trip is highly dependent on the barrier-free environment.And with the aggravation of the aging population,people’s demand for the barrier-free environment is increasing.Therefore,the barrier-free environment of the metro has been paid more and more attention by the society.At present,the commercial software provided on the market,such as Amap APP and Baidu Map APP,tec.,basically meets the needs of ordinary passengers by planning the metro trip paths for them,but still fails to meet the trip needs of special groups who are highly dependent on the barrier-free environment.There is an urgent need to study the optimization of metro barrier-free trip paths and develop a metro barrier-free trip service system that can solve the above problems.This paper analyzes the characteristics of passenger trip behavior in a given network state,and analyzes the impact of barrier-free facilities on the choice of different passenger trip paths,which is of great significance for optimizing urban rail transit planning and improving metro trip service quality.Firstly,by analyzing the existing barrier-free design specifications of metro,the barrier-free facilities of metro are classified,which provides a theoretical basis for studying how barrier-free facilities affect the choice of passenger trip paths.Secondly,this paper analyzes the influencing factors of metro passengers’ route choice,makes quantitative analysis of each factor,and constructs generalized cost function.At the same time,analyze the impact of barrier-free facilities on different passenger route choices.After that,based on the characteristics of urban rail transit network and passenger travel behavior,the effective path constraints are defined.This paper analyzes the advantages and disadvantages of the traditional shortest path algorithm and the effective path search algorithm,and improves it to be suitable for the shortest path and effective path search of the metro network,and proposes the optimization process of the metro trip paths.Finally,based on the relevant data of Wuhan Rail Transit Network,a barrier-free trip system for Wuhan Metro was designed and implemented,and compared with themetro trip path planning functions provided by commercial software such as Amap APP and Baidu Map APP.Through the above research,it is found that the optimal travel path combined with the data of subway barrier-free facilities not only meets the metro trip needs of ordinary passengers,but also meets the trip needs of special groups such as wheelchair users.