交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2009年
6期
136-141
,共6页
贾文峥%毛保华%何天键%刘海东%杨博
賈文崢%毛保華%何天鍵%劉海東%楊博
가문쟁%모보화%하천건%류해동%양박
铁路车站%股道分配方案%瓶颈识别%Petri网
鐵路車站%股道分配方案%瓶頸識彆%Petri網
철로차참%고도분배방안%병경식별%Petri망
rail stations%track allocation schemes%bottlenecks detection%petri nets
已有的求解股道分配问题的方法很少探讨强壮性,得到的股道分配方案中会有一些瓶颈.要对这些瓶颈进行局部优化,就需要一定的方法来探测这些瓶颈.本文首先利用Petri网技术将一个股道分配方案转换成可执行的动态模型,然后对每一项列车作业进行扰动分析,并利用全部列车的出发晚点时间来识别瓶颈.最后,对一个衔接6个方向的车站平面图和一个持续时间约30分钟的股道分配方案进行分析,结果发现最小缓冲时间为21秒;方案中存在两处瓶颈,缓冲时间分别为57秒和44秒,这表明最小缓冲时间所对应的列车作业区域不一定是方案的瓶颈.这种方法为强壮性优化以及多方案比选提供了技术支持.
已有的求解股道分配問題的方法很少探討彊壯性,得到的股道分配方案中會有一些瓶頸.要對這些瓶頸進行跼部優化,就需要一定的方法來探測這些瓶頸.本文首先利用Petri網技術將一箇股道分配方案轉換成可執行的動態模型,然後對每一項列車作業進行擾動分析,併利用全部列車的齣髮晚點時間來識彆瓶頸.最後,對一箇銜接6箇方嚮的車站平麵圖和一箇持續時間約30分鐘的股道分配方案進行分析,結果髮現最小緩遲時間為21秒;方案中存在兩處瓶頸,緩遲時間分彆為57秒和44秒,這錶明最小緩遲時間所對應的列車作業區域不一定是方案的瓶頸.這種方法為彊壯性優化以及多方案比選提供瞭技術支持.
이유적구해고도분배문제적방법흔소탐토강장성,득도적고도분배방안중회유일사병경.요대저사병경진행국부우화,취수요일정적방법래탐측저사병경.본문수선이용Petri망기술장일개고도분배방안전환성가집행적동태모형,연후대매일항열차작업진행우동분석,병이용전부열차적출발만점시간래식별병경.최후,대일개함접6개방향적차참평면도화일개지속시간약30분종적고도분배방안진행분석,결과발현최소완충시간위21초;방안중존재량처병경,완충시간분별위57초화44초,저표명최소완충시간소대응적열차작업구역불일정시방안적병경.저충방법위강장성우화이급다방안비선제공료기술지지.
Robustness of the track allocation problem is rarely addressed in literatures and the obtained track allocation schemes (TAS) embody some bottlenecks. Therefore,an approach to detect bottlenecks is needed to support local optimization. First a TAS is transformed to an executable model by Petri nets. Then distrubances ananlysis is performed using the model and the indicators of the total trains' departure delays are collected to detect bottlenecks when each train suffers an disturbance. Finally,the results of the tests based on a rail hub linking six lines and a TAS about thirty minutes show that the the minimum buffer time is 21 seconds and there are two bottlenecks where the buffer times are 57 and 44 seconds respectively,and it indicates that the bottlenecks do not certainly locate at the area where there is minimum buffer time. The proposed approach can further support selection of multi schemes and robustness optimization.