速度协调与临时使用路肩集成仿真优化
|
摘要
研究速度协调与临时使用路肩两种主动交通管理措施的集成优化。基于道路上的海量检测数据筛选出研究时段内的交通崩溃现象,分析路肩车道流量对交通崩溃概率的影响,利用路肩车道流量、基本行车道流量、出入口匝道流量建立高速公路主线基本段、入口匝道汇流段、出口匝道分流段的非参数交通崩溃概率模型及Logistic概率模型,并利用实际的检测数据进行拟合,提出以总路段交通崩溃概率之和最小为优化目标的模型进行速度协调与临时使用路肩集成优化,并以英国M42高速公路进行实例仿真,结果显示该方法具有一定的应用价值。
We have a study on hard shoulder running(HSR) combined with speed harmonization. The breakdown events were screened out during the study period from massive detector data. The impact of hard shoulder volume on breakdown probabilities was analyzed. The nonparametric breakdown probabilities distribution model and logistic regression model were put forward based on highway mainline traffic volume, hard shoulder volume and ramp volume from the study case which was divided into three factors-basic segment, on-ramp merging segment and off-ramp diverging segment. The speed harmonization and HSR were optimized through reducing the traffic breakdown probabilities of a congested traffic network. The strategies were tested on M42 highway in the United Kingdom, which shows that the method has practical application value.
We have a study on hard shoulder running(HSR) combined with speed harmonization. The breakdown events were screened out during the study period from massive detector data. The impact of hard shoulder volume on breakdown probabilities was analyzed. The nonparametric breakdown probabilities distribution model and logistic regression model were put forward based on highway mainline traffic volume, hard shoulder volume and ramp volume from the study case which was divided into three factors-basic segment, on-ramp merging segment and off-ramp diverging segment. The speed harmonization and HSR were optimized through reducing the traffic breakdown probabilities of a congested traffic network. The strategies were tested on M42 highway in the United Kingdom, which shows that the method has practical application value.
引文
[1]Geistefeldt J.Operational experience with temporary hard shoulder running in Germany[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2012,2278(1):67-73.
[2]Ma J,Hu J,Hale D K,et al.Dynamic hard shoulder running for traffic incident management[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2016,2554:120-128.
[3]Vadde R.A study of safety impacts of using active traffic management strategies on congested freeways[D].College Station:Texas A&M University-Kingsville,2011.
[4]Vadde R,Sai J O,Faruqi M A,et al.A simulation study of using active traffic management strategies on congested freeways[J].Journal of Modern Transportation(S2095-087X),2012,3(20):178-184.
[5]Zheng H,Nava E,Chiu Y.Evaluating active traffic and demand management strategies for congested tourism traffic corridor[C]//Intelligent Transportation Systems(ITSC),2011 14th International IEEE Conference on.IEEE,2011.
[6]Bauer K M,Harwood D W,Hughes W E,et al.Safety Effects of Narrow Lanes and Shoulder-Use Lanes to Increase the Capacity of Urban Freeways[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2004,1897(1):71-80.
[7]Kononov J,Hersey S,Reeves D,et al.Relationship between freeway flow parameters and safety and its implications for hard shoulder running[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2012,2280:10-17.
[8]Lee C,Hellinga B,Saccomanno F.Evaluation of variable speed limits to improve traffic safety[J].Transportation Research Part C Emerging Technologies(S0968-090X).2006,14(3):213-228.
[9]Hegyi A,Hoogendoorn S P,Schreuder M,et al.SPECIALIST:A dynamic speed limit control algorithm based on shock wave theory[C]//Proceedings of 11th International IEEE Conference on Intelligent Transportation Systems,2008:827-832.
[10]王薇,杨兆升,赵丁选.有限阶段马尔可夫决策的可变限速控制模型[J].交通运输工程学报,2011,11(5):109-114.WANG Wei,YANG Zhao-sheng,ZHAO Ding-xuan.Control model of variable speed limit based on finite horizon Markov decision-making.Journal of Traffic and Transportation Engineering,2011,11(5):109-114.
[11]Elefteriadou L,Kondyli A,Brilon W,et al.Enhancing Ramp Metering Algorithms with the Use of Probability of Breakdown Models[J].Journal of Transportation Engineering(S0733-947X),2014,140(4):634-647.
[12]Darroudi A.Variable Speed Limit Strategies to Reduce the Impacts of Traffic Flow Breakdown at Recurrent Freeway Bottlenecks[R].Florida:Florida International University,2014.
[13]郝媛,孙立军,徐天东.交通流Breakdown现象与交通扰动演化模型[J].同济大学学报(自然科学版),2009,37(9):1178-1184.HAO Yuan,SUN Lijun,XU Tiandong.Traffic Breakdown Phenomenon and Evolution Model of Traffic Perturbation[J].Journal of Tongji University(Natural Science),2009,37(9):1178-1184.
[14]Brilon W,Geistefeldt J,Regler M.Reliability of Freeway Traffic Flow:A Stochastic Concept of Capacity[C]//Proceedings of 16th International Symposium on Transportation and Traffic Theory,2005.
[15]Abdelkefi C,Sifi M.An Empirical Analysis of Traffic Breakdown[C]//International Symposium on Freeway and Tollway Operations,2009.
[16]Persaud B,Yagar S,Tsui D,et al.Breakdown-Related Capacity for Freeway with Ramp Metering[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2001,1748:110-115.
[17]Kotsialos A,Papageorgiou M.Traffic Flow Modeling of Large-Scale Motorway Networks Using the Macroscopic Modeling Tool METANET[J].Transactions on Intelligent Transportation Systems(S1524-9050),2002,4(3):282-292.
[18]Midas dataset[DB/OL].[2016-04-01].https://www.midas-data.org.uk/.
[19]Elefteriadou L,Kondyli A,Brilon W,et al.Enhancing Ramp Metering Algorithms with the Use of Probability of Breakdown Models[J].Journal of Transportation Engineering(S0733-947X),2014,140(4):634-647.
[20]Samoili S,Dumont A,Efthymiou D,et al.Investigation of lane flow distribution on hard shoulder running freeways[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2013,2396:133-142.
[2]Ma J,Hu J,Hale D K,et al.Dynamic hard shoulder running for traffic incident management[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2016,2554:120-128.
[3]Vadde R.A study of safety impacts of using active traffic management strategies on congested freeways[D].College Station:Texas A&M University-Kingsville,2011.
[4]Vadde R,Sai J O,Faruqi M A,et al.A simulation study of using active traffic management strategies on congested freeways[J].Journal of Modern Transportation(S2095-087X),2012,3(20):178-184.
[5]Zheng H,Nava E,Chiu Y.Evaluating active traffic and demand management strategies for congested tourism traffic corridor[C]//Intelligent Transportation Systems(ITSC),2011 14th International IEEE Conference on.IEEE,2011.
[6]Bauer K M,Harwood D W,Hughes W E,et al.Safety Effects of Narrow Lanes and Shoulder-Use Lanes to Increase the Capacity of Urban Freeways[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2004,1897(1):71-80.
[7]Kononov J,Hersey S,Reeves D,et al.Relationship between freeway flow parameters and safety and its implications for hard shoulder running[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2012,2280:10-17.
[8]Lee C,Hellinga B,Saccomanno F.Evaluation of variable speed limits to improve traffic safety[J].Transportation Research Part C Emerging Technologies(S0968-090X).2006,14(3):213-228.
[9]Hegyi A,Hoogendoorn S P,Schreuder M,et al.SPECIALIST:A dynamic speed limit control algorithm based on shock wave theory[C]//Proceedings of 11th International IEEE Conference on Intelligent Transportation Systems,2008:827-832.
[10]王薇,杨兆升,赵丁选.有限阶段马尔可夫决策的可变限速控制模型[J].交通运输工程学报,2011,11(5):109-114.WANG Wei,YANG Zhao-sheng,ZHAO Ding-xuan.Control model of variable speed limit based on finite horizon Markov decision-making.Journal of Traffic and Transportation Engineering,2011,11(5):109-114.
[11]Elefteriadou L,Kondyli A,Brilon W,et al.Enhancing Ramp Metering Algorithms with the Use of Probability of Breakdown Models[J].Journal of Transportation Engineering(S0733-947X),2014,140(4):634-647.
[12]Darroudi A.Variable Speed Limit Strategies to Reduce the Impacts of Traffic Flow Breakdown at Recurrent Freeway Bottlenecks[R].Florida:Florida International University,2014.
[13]郝媛,孙立军,徐天东.交通流Breakdown现象与交通扰动演化模型[J].同济大学学报(自然科学版),2009,37(9):1178-1184.HAO Yuan,SUN Lijun,XU Tiandong.Traffic Breakdown Phenomenon and Evolution Model of Traffic Perturbation[J].Journal of Tongji University(Natural Science),2009,37(9):1178-1184.
[14]Brilon W,Geistefeldt J,Regler M.Reliability of Freeway Traffic Flow:A Stochastic Concept of Capacity[C]//Proceedings of 16th International Symposium on Transportation and Traffic Theory,2005.
[15]Abdelkefi C,Sifi M.An Empirical Analysis of Traffic Breakdown[C]//International Symposium on Freeway and Tollway Operations,2009.
[16]Persaud B,Yagar S,Tsui D,et al.Breakdown-Related Capacity for Freeway with Ramp Metering[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2001,1748:110-115.
[17]Kotsialos A,Papageorgiou M.Traffic Flow Modeling of Large-Scale Motorway Networks Using the Macroscopic Modeling Tool METANET[J].Transactions on Intelligent Transportation Systems(S1524-9050),2002,4(3):282-292.
[18]Midas dataset[DB/OL].[2016-04-01].https://www.midas-data.org.uk/.
[19]Elefteriadou L,Kondyli A,Brilon W,et al.Enhancing Ramp Metering Algorithms with the Use of Probability of Breakdown Models[J].Journal of Transportation Engineering(S0733-947X),2014,140(4):634-647.
[20]Samoili S,Dumont A,Efthymiou D,et al.Investigation of lane flow distribution on hard shoulder running freeways[J].Transportation Research Record:Journal of the Transportation Research Board(S0361-1981),2013,2396:133-142.