CAJ | 학술논문

随着城市轨道交通网络的不断完善，可供乘客选择的轨道交通出行路径日益增加，乘客出行路径决策愈加复杂。本文在分析轨道交通服务水平变量对不同属性乘客出行路径选择行为影响的基础上，提出轨道交通乘客个性化出行路径规划算法。首先，基于非集计理论构建针对不同类别乘客的路径选择模型，该模型综合考虑乘车时间、换乘时间、换乘次数、车内拥挤度及个人属性等因素对乘客路径选择行为的影响。其次，基于不同类别乘客的路径选择行为差异，构建考虑车内拥挤度变化的乘客个性化出行路径动态规划算法，为不同属性乘客规划广义出行时间最小的路径。最后，基于广州地铁数据对算法进行验证。结果表明，该算法针对乘客个人属性规划的最优出行路径，更加贴合乘客的出行心理。
수착성시궤도교통망락적불단완선，가공승객선택적궤도교통출행로경일익증가，승객출행로경결책유가복잡。본문재분석궤도교통복무수평변량대불동속성승객출행로경선택행위영향적기출상，제출궤도교통승객개성화출행로경규화산법。수선，기우비집계이론구건침대불동유별승객적로경선택모형，해모형종합고필승차시간、환승시간、환승차수、차내옹제도급개인속성등인소대승객로경선택행위적영향。기차，기우불동유별승객적로경선택행위차이，구건고필차내옹제도변화적승객개성화출행로경동태규화산법，위불동속성승객규화엄의출행시간최소적로경。최후，기우엄주지철수거대산법진행험증。결과표명，해산법침대승객개인속성규화적최우출행로경，경가첩합승객적출행심리。
With the rapid development of urban rail transit network, increased available routes make passengers’trip decision-making become more and more difficult. This study proposes a dynamic metro route planning algorithm with the least generalized cost, in which network LOS variables and personal characteristics are taken into consideration. Firstly, based on the disaggregate choice theory, the metro route choice models for different types of passengers are established with the consideration of LOS variables (e.g. in-vehicle travel time, transfer time, number of transfers, in-vehicle passenger density, etc.) and personal characteristics (e.g. age, trip purpose, etc.). Then, based on the proposed models and the time-varied sectional flow volume, a dynamic personalized route planning algorithm is proposed, which is expected to generate the optimal route with the least generalized time for each type of passengers. Finally, the proposed algorithm is evaluated in Guangzhou Metro conditions. The results indicate that the algorithm can provide passengers with the more reasonable route corresponding with their characteristics, and expresses passenger’s route choice preference more precisely.