合肥工业大学学报(自然科学版)
閤肥工業大學學報(自然科學版)
합비공업대학학보(자연과학판)
Journal of Hefei University of Technology (Natural Science)
2015年
11期
1446-1450
,共5页
交通网络设计%可变车道%双层规划%人工蜂群算法
交通網絡設計%可變車道%雙層規劃%人工蜂群算法
교통망락설계%가변차도%쌍층규화%인공봉군산법
transportation network design%variable lane%bi-level programming%artificial bee colony (ABC) algorithm
针对“潮汐交通”问题所引起的道路资源利用不合理的现象,文章提出了考虑可变车道优化的交通网络设计问题,旨在通过合理的路段拓展和车道配置方案来提高交通网络的运行效率;构建了一个双层规划模型来描述提出的交通网络设计问题,上层问题以系统总阻抗与总投资额之和最小为目标,制定最优的道路拓展方案,并针对道路网络早晚高峰不同的OD需求水平,分时段对车道进行优化配置,下层模型采用了用户平衡(U E )配流模型来描述出行者在不同时段的路径选择行为;设计了人工蜂群算法来求解此双层规划模型。最后,采用数值算例验证了文中模型与算法的有效性。
針對“潮汐交通”問題所引起的道路資源利用不閤理的現象,文章提齣瞭攷慮可變車道優化的交通網絡設計問題,旨在通過閤理的路段拓展和車道配置方案來提高交通網絡的運行效率;構建瞭一箇雙層規劃模型來描述提齣的交通網絡設計問題,上層問題以繫統總阻抗與總投資額之和最小為目標,製定最優的道路拓展方案,併針對道路網絡早晚高峰不同的OD需求水平,分時段對車道進行優化配置,下層模型採用瞭用戶平衡(U E )配流模型來描述齣行者在不同時段的路徑選擇行為;設計瞭人工蜂群算法來求解此雙層規劃模型。最後,採用數值算例驗證瞭文中模型與算法的有效性。
침대“조석교통”문제소인기적도로자원이용불합리적현상,문장제출료고필가변차도우화적교통망락설계문제,지재통과합리적로단탁전화차도배치방안래제고교통망락적운행효솔;구건료일개쌍층규화모형래묘술제출적교통망락설계문제,상층문제이계통총조항여총투자액지화최소위목표,제정최우적도로탁전방안,병침대도로망락조만고봉불동적OD수구수평,분시단대차도진행우화배치,하층모형채용료용호평형(U E )배류모형래묘술출행자재불동시단적로경선택행위;설계료인공봉군산법래구해차쌍층규화모형。최후,채용수치산례험증료문중모형여산법적유효성。
Unreasonable utilization of road resources can be arisen due to tidal traffic .To overcome this problem ,a transportation network design problem (NDP) with consideration of optimization of varia‐ble lanes is proposed .The proposed NDP aims to improve traffic efficiency by designing reasonable road network and lane allocation .A bi‐level programming model is developed to formulate the pro‐posed NDP .The upper level problem aims to minimize the sum of the total system travel cost and the total investment by optimizing road expanding scheme .With consideration of the different OD demand levels in the morning and evening peak hours ,the lane allocation schemes in different traffic demand periods are also optimized .The lower level problem is formulated as a user equilibrium (UE) traffic assignment model to describe travelers’ route choice behavior during different traffic demand periods . An artificial bee colony(ABC) algorithm is introduced to solve the proposed bi‐level model .Finally ,a numerical example is developed to illustrate the effectiveness of the proposed model and algorithm .