中山大学学报(自然科学版)
中山大學學報(自然科學版)
중산대학학보(자연과학판)
ACTA SCIENTIARUM NATURALIUM UNIVERSITATIS SUNYATSENI
2013年
5期
26-30,38
,共6页
李军%谢良惠%黄琳
李軍%謝良惠%黃琳
리군%사량혜%황림
交通工程%交通信息发布%随机交通分配%指向惩罚%市场占有率
交通工程%交通信息髮佈%隨機交通分配%指嚮懲罰%市場佔有率
교통공정%교통신식발포%수궤교통분배%지향징벌%시장점유솔
traffic engineering%traffic information%stochastic traffic assignment%direction penalty%market penetration
提出了通过对发布交通拥堵信息的路段进行阻抗惩罚的随机交通分配方法。出行者被分为“随机型”与“信息型”两类并进行logit型的随机路径选择,前者不受交通信息发布的影响,根据正常路阻进行路径选择,而后者会根据发布的信息,改变对下游路网阻抗的认知并根据新的阻抗进行路径选择。通过对发布拥堵信息的路段的路阻施加路段到路段的指向惩罚来反映“信息型”出行者的路阻变化,分别对两组类型的出行者进行随机网络加载,给出了基于混合流量加载的交通分配算法。实例验证了方法的有效性,并分析了交通信息服务的市场占有率和信息的发布方案对信息发布效果的影响。
提齣瞭通過對髮佈交通擁堵信息的路段進行阻抗懲罰的隨機交通分配方法。齣行者被分為“隨機型”與“信息型”兩類併進行logit型的隨機路徑選擇,前者不受交通信息髮佈的影響,根據正常路阻進行路徑選擇,而後者會根據髮佈的信息,改變對下遊路網阻抗的認知併根據新的阻抗進行路徑選擇。通過對髮佈擁堵信息的路段的路阻施加路段到路段的指嚮懲罰來反映“信息型”齣行者的路阻變化,分彆對兩組類型的齣行者進行隨機網絡加載,給齣瞭基于混閤流量加載的交通分配算法。實例驗證瞭方法的有效性,併分析瞭交通信息服務的市場佔有率和信息的髮佈方案對信息髮佈效果的影響。
제출료통과대발포교통옹도신식적로단진행조항징벌적수궤교통분배방법。출행자피분위“수궤형”여“신식형”량류병진행logit형적수궤로경선택,전자불수교통신식발포적영향,근거정상로조진행로경선택,이후자회근거발포적신식,개변대하유로망조항적인지병근거신적조항진행로경선택。통과대발포옹도신식적로단적로조시가로단도로단적지향징벌래반영“신식형”출행자적로조변화,분별대량조류형적출행자진행수궤망락가재,급출료기우혼합류량가재적교통분배산법。실례험증료방법적유효성,병분석료교통신식복무적시장점유솔화신식적발포방안대신식발포효과적영향。
A stochastic traffic assignment method considering the impact of traffic congestion information based on the direction penalty is presented to calculate the traffic flows under traffic congestion informa-tion.The travelers who are assumed to have logit style route choice behavior are divided into two groups named “stochastic users”and “information users”.The “stochastic users”are not affected by traffic in-formation and chooses route according to the normal route impedances,while the“information users”will follow the traffic congestion information to update route impedances and their route choices are based up-dated impedances.A direction penalty is added to the road-road connector to reflect the increased imped-ances by congestion information,a modified Dial algorithm with the consideration of direction penalty is employed for stochastic network loading of different users and method of successive average is used for stochastic traffic assignment.Two numerical examples demonstrate that the proposed method is efficient and robust,and the impacts of acceptance of traffic information and traffic information publishing strate-gies are discussed.