东南大学学报(自然科学版)
東南大學學報(自然科學版)
동남대학학보(자연과학판)
JOURNAL OF SOUTHEAST UNIVERSITY
2014年
6期
1299-1303
,共5页
交通规划%快速公交系统%系统配置%潜在客流预测%变分不等式模型
交通規劃%快速公交繫統%繫統配置%潛在客流預測%變分不等式模型
교통규화%쾌속공교계통%계통배치%잠재객류예측%변분불등식모형
transportation planning%bus rapid transit system%system deployment%potential rider-ship forecasting%variational inequality model
为了研究不同供给条件下快速公交系统的客流规模差异,从系统配置角度出发,借助网络交通平衡分配原理,建立了基于变分不等式的潜在客流预测模型。利用路段运行时间、场站停留时间和站点驻留时间反映不同的系统配置。为求解方便,将系统配置吸引的潜在客流转化为网络中的潜在交通量进行计算。求解时,将变分不等式模型转化为随机用户均衡模型求解部分变量,再采用相似对角化方法求解变分不等式中的弹性发车频率,通过弹性发车频率与流量间的关系最终得到网络的潜在交通量。算例比较了快速公交系统各级配置吸引潜在客流的大小。数值仿真结果表明,各级配置吸引的客流差异较大,且在公交的客流预测中占有较大比重。
為瞭研究不同供給條件下快速公交繫統的客流規模差異,從繫統配置角度齣髮,藉助網絡交通平衡分配原理,建立瞭基于變分不等式的潛在客流預測模型。利用路段運行時間、場站停留時間和站點駐留時間反映不同的繫統配置。為求解方便,將繫統配置吸引的潛在客流轉化為網絡中的潛在交通量進行計算。求解時,將變分不等式模型轉化為隨機用戶均衡模型求解部分變量,再採用相似對角化方法求解變分不等式中的彈性髮車頻率,通過彈性髮車頻率與流量間的關繫最終得到網絡的潛在交通量。算例比較瞭快速公交繫統各級配置吸引潛在客流的大小。數值倣真結果錶明,各級配置吸引的客流差異較大,且在公交的客流預測中佔有較大比重。
위료연구불동공급조건하쾌속공교계통적객류규모차이,종계통배치각도출발,차조망락교통평형분배원리,건립료기우변분불등식적잠재객류예측모형。이용로단운행시간、장참정류시간화참점주류시간반영불동적계통배치。위구해방편,장계통배치흡인적잠재객류전화위망락중적잠재교통량진행계산。구해시,장변분불등식모형전화위수궤용호균형모형구해부분변량,재채용상사대각화방법구해변분불등식중적탄성발차빈솔,통과탄성발차빈솔여류량간적관계최종득도망락적잠재교통량。산례비교료쾌속공교계통각급배치흡인잠재객류적대소。수치방진결과표명,각급배치흡인적객류차이교대,차재공교적객류예측중점유교대비중。
To study the BRT(bus rapid transit)ridership difference with different deployments,using the network equilibrium assignment theory,the potential ridership forecasting model based on the vari-ational inequality is proposed.The different BRT deployment is characterized in the model by the trav-el time on the section,terminal time and dwelling time at stations.The potential ridership is trans-ferred to the potential trip production in the network for solving the model.When solving the model, the variational inequality model is equivalent to the user equilibrium model to obtain some variables. Next,the elastic frequency in the variational inequality model can be obtained by the analogous diago-nalization method.Finally,the potential trip production can be calculated by the relationship of elastic frequency and link volume.Different potential ridership of corresponding levels of deployment is illus-trated in the numerical example.The results show that the potential ridership of different deployments is obviously different,and the potential ridership has a big proportion in the total ridership.