交通科技与经济
交通科技與經濟
교통과기여경제
Technology & Economy in Areas of Communications
2015年
2期
61-65
,共5页
交通运输工程%高速公路服务区%服务区排序%多次灰色聚类
交通運輸工程%高速公路服務區%服務區排序%多次灰色聚類
교통운수공정%고속공로복무구%복무구배서%다차회색취류
transportation engineering%expressway service station%service station sorting%repeated grey clustering
为客观准确地评价高速公路服务区的重要度和贡献度,现提出采用多次灰色聚类方法定位服务区。将同一高速沿线的服务区作为聚类对象集,评价服务区的代表因子,如服务区的占地面积、驶入交通量及加油机台数等作为聚类因子集,计算各聚类界限及各因子在各类中所占权重,便可求得各聚类对象对各聚类标准的聚类系数,将聚类系数大小作为参数对服务区进行聚类排序分析。对于一次聚类运算结果中包含对象较多的类别,再以这一类服务区作为聚类对象集,重复运用灰色聚类,对服务区进行聚类排序分析。与常规灰色聚类法相比,多次聚类方法聚类层类别更多,定位更精准,能同时实现服务区的聚类及排序。
為客觀準確地評價高速公路服務區的重要度和貢獻度,現提齣採用多次灰色聚類方法定位服務區。將同一高速沿線的服務區作為聚類對象集,評價服務區的代錶因子,如服務區的佔地麵積、駛入交通量及加油機檯數等作為聚類因子集,計算各聚類界限及各因子在各類中所佔權重,便可求得各聚類對象對各聚類標準的聚類繫數,將聚類繫數大小作為參數對服務區進行聚類排序分析。對于一次聚類運算結果中包含對象較多的類彆,再以這一類服務區作為聚類對象集,重複運用灰色聚類,對服務區進行聚類排序分析。與常規灰色聚類法相比,多次聚類方法聚類層類彆更多,定位更精準,能同時實現服務區的聚類及排序。
위객관준학지평개고속공로복무구적중요도화공헌도,현제출채용다차회색취류방법정위복무구。장동일고속연선적복무구작위취류대상집,평개복무구적대표인자,여복무구적점지면적、사입교통량급가유궤태수등작위취류인자집,계산각취류계한급각인자재각류중소점권중,편가구득각취류대상대각취류표준적취류계수,장취류계수대소작위삼수대복무구진행취류배서분석。대우일차취류운산결과중포함대상교다적유별,재이저일류복무구작위취류대상집,중복운용회색취류,대복무구진행취류배서분석。여상규회색취류법상비,다차취류방법취류층유별경다,정위경정준,능동시실현복무구적취류급배서。
In order to give an objective and exact evaluation on the contribution and importance of expressway service station ,repeated Grey clustering method is proposed .The service station along each expressway is applied as the clustering object set ,while the site area ,back‐in traffic and number of units tanker are used as clustering index set .By calculating the limits and weights of index in each class ,the clustering index of objects under corresponding clustering standard can be obtained ,thus a sorting and clustering analysis process can be advanced by the clustering indexes .For the classes including too much objects ,the same process can be applied to these classes .Comparing to normal Grey clustering method ,the repeated Grey clustering method possess the advantage of more clustering layers ,higher locating accuracy , and it can simultaneously accomplish the clustering and sorting of service station .