考虑服从率的道路网络交通流逐日演化博弈模型
作者：
黄中祥;陈思臣
期刊：
长沙理工大学学报(自然科学版) ,2020年17(1):8-15 ISSN：1672-9331
作者机构：
长沙理工大学 交通运输工程学院,湖南 长沙 410114;[陈思臣; 黄中祥] 长沙理工大学
关键词：
逐日演化;出行者异质性;累积前景理论;马尔可夫演化动态
摘要：
在刻画出行者的日常路径选择过程中,出行者的异质性与有限理性问题逐渐突出,而以往的交通流演化研究大多将出行者根据是否装配先进出行者信息系统（ATIS）分为两类,演化稳定后分别达到UE与SUE状态,但没有考虑出行者对信息的服从率。因此,研究中根据出行者对静态信息的服从率将出行者分为三类,使用累积前景理论刻画出行者的得失心理行为,建立了基于马尔可夫动态模拟出行者路径选择的演化博弈模型。在算例试验中,分析了路径调整率分别取固定值和变动值条件下的演化过程,当路径调整率的取值随演化过程递减时,出行者由更期望改变自己的路径选择逐渐向保持原有路径选择改变,这能更加体现出行者的有限理性,其路径演化过程也更加符合实际。
语种：
中文
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基于深度学习的短时交通流预测模型
作者：
卢生巧;黄中祥
期刊：
交通科学与工程 ,2020年36(03):74-80 ISSN：1674-599X
作者机构：
长沙理工大学 交通运输工程学院,湖南 长沙 410004;[卢生巧; 黄中祥] 长沙理工大学
关键词：
短时预测;深度学习;卷积神经网络;门控循环单元神经网络
摘要：
针对现有交通流短时预测模型在描述交通流时空特征能力较弱的问题,提出了一种卷积神经网络和门控循环单元神经网络相结合的深度神经网络预测模型。该模型利用卷积神经网络提取短时交通流数据的空间特征,并将结果输入到门控循环单元神经网络中,挖掘短时交通流数据的时间特征。以加州交通局绩效评估系统的交通流数据为例,对该模型进行训练,验证该模型的准确性。试验结果表明:与现有的模型相比,该模型具有更好的预测性能,其平均绝对百分误差显著减少,可为交通管理与控制提供有效依据。
语种：
中文
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Predicting Wet-Road Crashes Using the Finite-Mixture Zero-Truncated Negative Binomial Model
作者：
Chen, Ying* ;Huang, Zhongxiang
期刊：
Journal of Advanced Transportation ,2020年2020:1-9 ISSN：0197-6729
通讯作者：
Chen, Ying
作者机构：
[Chen, Ying] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Sch Architecture, Changsha 410114, Peoples R China.;[Huang, Zhongxiang] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Peoples R China.
通讯机构：
[Chen, Ying] C;Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Sch Architecture, Changsha 410114, Peoples R China.
关键词：
Developing countries;Forecasting;Markov chains;Mixtures;Monte Carlo methods;Roads and streets;Traffic control;Travel time;Analytic method;Conventional modeling;Finite mixtures;Inclement weathers;Markov chain Monte Carlo method;Model approach;Negative binomial;Negative binomial models;Highway accidents
摘要：
Inclement weather affects traffic safety in various ways. Crashes on rainy days not only cause fatalities and injuries but also significantly increase travel time. Accurately predicting crash risk under inclement weather conditions is helpful and informative to both roadway agencies and roadway users. Safety researchers have proposed various analytic methods to predict crashes. However, most of them require complete roadway inventory, traffic, and crash data. Data incompleteness is a challenge in many developing countries. It is common that safety researchers only have access to data on sites where a crash has occurred (i.e., zero-truncated data). The conventional crash models are not applicable to zero-truncated safety data. This paper proposes a finite-mixture zero-truncated negative binomial (FMZTNB) model structure. The model is applied to three-year wet-road crash data on 395 divided roadway segments (total 586 km), and the parameters are estimated using the Markov chain Monte Carlo (MCMC) method. Comparison indicates that the proposed FMZTNB model has better fitting performance and is more accurate in predicting the number of wet-road crashes. The model is capable of capturing the heterogeneity within the sample crash data. In addition, lane width showed mixed effects in different components on wet-road crashes, which are not observed in conventional modeling approaches. Practitioners are encouraged to consider the finite-mixture zero-truncated modeling approach when complete safety dataset is not available. © 2020 Ying Chen and Zhongxiang Huang.
语种：
英文
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A traffic flow evolution process toward mixed equilibrium with multicriteria of route choice behaviour
作者：
Jiang, Xiangjun* ;Huang, Zhongxiang* ;Zhao, Zhenyu
期刊：
Journal of Advanced Transportation ,2020年2020:1-17 ISSN：0197-6729
通讯作者：
Jiang, Xiangjun;Huang, Zhongxiang
作者机构：
[Jiang, Xiangjun; Huang, Zhongxiang; Zhao, Zhenyu; Jiang, XJ; Huang, ZX] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410076, Hunan, Peoples R China.
通讯机构：
[Jiang, XJ; Huang, ZX] C;Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410076, Hunan, Peoples R China.
关键词：
Flow interactions;Flow patterns;Mathematical programming;Numerical methods;Stochastic systems;Traffic control;Travel time;Complete information;Equilibrium conditions;Equilibrium flow;Equilibrium state;Incomplete information;Route choice behaviour;Stochastic user equilibrium;Traffic flow interactions;Traffic signals
摘要：
Based on the price-quantity adjustment behaviour principle of disequilibrium theory, the route choices of travellers are also affected by a quantity signal known as traffic flow, while the route cost is considered as a price signal in economics. Considering the quantity signal's effect among travellers, a new route comfort choice behaviour criterion and its corresponding equilibrium condition are established. The network travellers are classified into three groups according to their route choice behaviour: travellers in the first group choose the shortest route following the route rapidity behaviour criterion with complete information forming the UE (user equilibrium) pattern, travellers in the second group choose the most comfortable route following the route comfort behaviour criterion with complete information forming the QUE (quantity adjustment user equilibrium) pattern, and travellers in the third group choose a route according to their perceived travel time with incomplete information forming the SUE (stochastic user equilibrium) pattern. The traffic flows of all three groups converge to a new UE-QUE-SUE mixed equilibrium flow pattern after interaction. To depict the traveller-diversified choice behaviour and the traffic flow interaction process, a mixed equilibrium traffic flow evolution model is formulated. After defining the route comfort indicator and the corresponding user equilibrium state, the equilibrium conditions of the three group flows are given under a mixed equilibrium pattern. In addition, an equivalent mathematical programming of the mixed equilibrium traffic flow evolution model is proposed to demonstrate that the developed model converges to the mixed equilibrium state. Finally, numerical examples are examined to evaluate the effect of route comfort proportions on the traffic network flow evolution and analyse the performance of the proposed model. © 2020 Xiangjun Jiang et al.
语种：
英文
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Assessing quality of crash modification factors estimated by empirical Bayes before-after methods [经验贝叶斯前后对比方法评估事故修正系数的精确度分析]
作者：
Chen, Ying;Wu, Ling-tao* ;Huang, Zhong-xiang
期刊：
中南大学学报(英文版) ,2020年27(8):2259-2268 ISSN：2095-2899
通讯作者：
Wu, Ling-tao
作者机构：
[Chen, Ying; Huang, Zhong-xiang] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Peoples R China.;[Chen, Ying] Changsha Univ Sci & Technol, Sch Architecture, Changsha 410114, Peoples R China.;[Wu, Ling-tao] Texas A&M Transportat Inst, Ctr Transportat Safety, Bryan, TX 77847 USA.
通讯机构：
[Wu, Ling-tao] T;Texas A&M Transportat Inst, Ctr Transportat Safety, Bryan, TX 77847 USA.
关键词：
Before-after study;Dummy treatments;Empirical Bayes;Modification factors;Real-world;Regression to the means;Standard errors;State-of-the-art approach;Errors
摘要：
Before-after study with the empirical Bayes (EB) method is the state-of-the-art approach for estimating crash modification factors (CMFs). The EB method not only addresses the regression-to-the-mean bias, but also improves accuracy. However, the performance of the CMFs derived from the EB method has never been fully investigated. This study aims to examine the accuracy of CMFs estimated with the EB method. Artificial realistic data (ARD) and real crash data are used to evaluate the CMFs. The results indicate that: 1) The CMFs derived from the EB before-after method are nearly the same as the true values. 2) The estimated CMF standard errors do not reflect the true values. The estimation remains at the same level regardless of the pre-assumed CMF standard error. The EB before-after study is not sensitive to the variation of CMF among sites. 3) The analyses with real-world traffic and crash data with a dummy treatment indicate that the EB method tends to underestimate the standard error of the CMF. Safety researchers should recognize that the CMF variance may be biased when evaluating safety effectiveness by the EB method. It is necessary to revisit the algorithm for estimating CMF variance with the EB method. © 2020, Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature.
语种：
英文
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A Day-to-Day Stochastic Traffic Flow Assignment Model Based on Mixed Regulation
作者：
Wu, Lixuan;Huang, Zhongxiang* ;Wu, Jianhui;Gao, Zhibo;Qin, Dingming
期刊：
IEEE ACCESS ,2020年8:12815-12823 ISSN：2169-3536
通讯作者：
Huang, Zhongxiang
作者机构：
[Huang, Zhongxiang; Wu, Lixuan] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Peoples R China.;[Wu, Jianhui] Hunan Inst Sci & Technol, Sch Informat Sci & Engn, Yueyang 414006, Peoples R China.;[Gao, Zhibo] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 201804, Peoples R China.;[Qin, Dingming] Tongji Univ, Coll Transportat Engn, Shanghai 201804, Peoples R China.
通讯机构：
[Huang, Zhongxiang] C;Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Peoples R China.
关键词：
Nguyen-Dupuis road network;Path selection;residual congestion;stability;traffic assignment
摘要：
In many cases, the final path selection of travellers' is not the shortest path, due to the limited computing power and high cost of path search. To solve the problem, this paper proposes a day-to-day (DTD) stochastic traffic flow assignment model that regulates the traffic flow based on the travel time (travel cost) and residual congestion of optional paths. The regulation mechanism is called the mixed regulation. Then, the authored proved the existence, uniqueness and stability of the model solution. The proposed model was verified through simulation on a Nguyen-Dupuis road network. The results show that traffic flows and travel times of all paths reached the equilibrium state, thanks to the DTD mixed regulation for 2030 days. From the traffic flows and congestion degrees of different sections, it can be seen that our model with mixed regulation diverts the traffic flow to the sections with a low congestion degree, and encourages travellers to drive through the sections with a low traffic flow. In addition, the congestion degrees of the four most congested sections decreased by 5.8%, 4%, 7% and 1.2%, respectively, and the entire road network exhibited a slight downward trend in mean congestion degree. These results prove that our model can uniformize the traffic flow, improve the operation efficiency and alleviate the congestion of the road network. These findings shed new light on the control, guidance and planning of traffic flow in road networks. © 2013 IEEE.
语种：
英文
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零截尾负二项模型在交叉口事故预测中的应用
作者：
陈英;袁华智;黄中祥;王磊
期刊：
中国公路学报 ,2020年33(4):146-154 ISSN：1001-7372
通讯作者：
Huang, Z.-X.
作者机构：
长沙理工大学交通运输工程学院,湖南长沙410114;长沙理工大学建筑学院,湖南长沙410114;长安大学汽车学院,陕西西安710064;[陈英; 黄中祥] 长沙理工大学;[袁华智; 王磊] 长安大学
通讯机构：
School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha, Hunan, China
关键词：
交通工程;交通安全;事故预测模型;零截尾负二项模型;公路平面交叉口
摘要：
事故预测模型是广泛采用的交通安全定量分析方法,但往往要求具有完备的道路、交通和事故数据。然而,基础数据相对不健全是包括中国在内的发展中国家交通安全管理面临的主要问题之一,例如仅有发生事故路段或者交叉口的相关属性特征(即零截尾数据)。为此,为确保基础数据不全的情况下交叉口事故预测的准确性,提出了基于零截尾的广义负二项回归模型;采集了246个非信号控制交叉口的交通与事故数据,采用传统负二项模型和新提出的零截尾负二项模型对全数据和零截尾数据分别进行对比分析。结果表明:在针对截尾数据的分析中,零截尾负二项模型明显优于传统负二项模型,并且零截尾负二项模型的参数估计值与基于全数据的负二项基准模型的估计值非常接近;在所有模型中,交叉口的主路交通量和支路交通量与交叉口的安全性之间存在较大的正关联。此外,同等条件下,十字形交叉口的事故数量高于T形交叉口的事故数量;利用传统负二项分布模型分析截尾数据得到的事故预测模型与使用全数据的基准模型有显著差异,其结果不可靠;采用零截尾负二项分布模型的参数结果与基准模型基本一致,截尾模型的置信区间包含基准模型相应的参数估计值。当受条件所限无法获取全部数据时,可以考虑使用零截尾负二项模型进行安全分析。
语种：
中文
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Fractal Analysis of the Relation between the Observation Scale and the Prediction Cycle in Short-Term Traffic Flow Prediction
作者：
Sheng Zhang* ;Zhong-xiang Huang
期刊：
International Journal of Intelligent Transportation Systems Research ,2019年17(1):1-8 ISSN：1348-8503
通讯作者：
Sheng Zhang
作者机构：
[Zhang S.; Huang Z.-X.] School of Traffic and Transportation Engineering, Changsha University of Science & Technology, No. 960 Wanjiali South Rd, Changsha, 410114, China
通讯机构：
[Sheng Zhang] S;School of Traffic and Transportation Engineering, Changsha University of Science & Technology, No. 960 Wanjiali South Rd, Changsha, China
关键词：
Forecasting;Fractal dimension;Time series;Time series analysis;Fractal analysis;Fractal theory;G-P algorithms;Meaningful works;Observation scale;Self-similarities;Short-term traffic flow;Traffic flow;Street traffic control
摘要：
Based on the analysis of the field traffic flow time series, we found that there is self-similarity and periodic similarity in the traffic flow of different observation scales, which makes the short-term traffic flow prediction a meaningful work. For the purpose of finding the smallest prediction cycle, fractal analysis was conducted in the relation between the observation scale and the prediction cycle by using both the field data and the simulated data. We calculate the fractal dimension and the scaling region of traffic flow time series by using the G-P algorithm. If the scaling region can be found in the traffic flow time series at some observation scale, it means that there is self-similarity in the time series at that observation scale. The minimum observation scale at which there is self-similarity in the traffic flow is the smallest prediction cycle. This observation scale is a prerequisite for judging whether the traffic flow can be predicted or not. This research provides a reference for the short-term traffic flow prediction on expressway and urban road. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
语种：
英文
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Research on process customization technology for intelligent transportation cloud service platform
作者：
Pan, Hua* ;Huang, Zhongxiang;He, Zengzhen
期刊：
Cluster Computing ,2019年22(6):15245-15254 ISSN：1386-7857
通讯作者：
Pan, Hua
作者机构：
[Pan, Hua] Guangxi Xinfazhan Commun Grp Co Ltd, Nanning 530029, Peoples R China.;[Huang, Zhongxiang; Pan, Hua] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410004, Hunan, Peoples R China.;[Pan, Hua; He, Zengzhen] Guangxi Transportat Res Inst, Nanning 530007, Peoples R China.
通讯机构：
[Pan, Hua] G;[Pan, Hua] C;Guangxi Xinfazhan Commun Grp Co Ltd, Nanning 530029, Peoples R China.;Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410004, Hunan, Peoples R China.;Guangxi Transportat Res Inst, Nanning 530007, Peoples R China.
关键词：
Smart traffic;Cloud platform;Workflow;Process customization
摘要：
In view of the dynamic demand of the business flow for the intelligent transportation cloud service platform, the relevant technologies such as platform workflow business process are researched, the workflow system architecture based on the cloud service platform is designed and implemented, and the process customization solution for the cloud service platform is proposed Program. Based on the design and implementation of a workflow-based process customization model, this program establishes a workflow-based protocol with a platform as its core. The workflow engine manages the entire process state and implements the intelligent scheduling of platform workflow. Finally, through the concrete application of customer service call system in cloud platform, the feasibility and effectiveness of the proposed technology are verified.
语种：
英文
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一种拥挤数量调节的非均衡网络交通流动态演化模型
作者：
吴立烜;黄中祥;王玉兰;魏涛
期刊：
交通运输工程学报 ,2018年18(3):167-179 ISSN：1671-1637
作者机构：
[吴立烜; 黄中祥] Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road and Traffic Safety of Ministry of Education, Changsha University of Science and Technology, Changsha;Hunan;410114, China;School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha;[王玉兰] Shandong Provincial Communications Planning and Design Institute, Jinan
关键词：
traffic flow theory;evolution model;non-Walrasian equilibrium;tatonnement process;quantity regulation of congestion
摘要：
Supposing that the travel cost on the paths and the congestion degree on the key links were considered by the urban travelers, a price-congestion mixed dynamic evolution model was established based on analyzing the equilibrium flow model. The model was based on the economics theory of non-Walrasian equilibrium method and by simulating the traveler's route choice behavior following the economical concept of market exploration process, the equivalency of model stability and equalization was verified. The evolution model was simulated by using a simple test network and a medium size network, the evolution process of disequilibrium network traffic flow and the performance of traffic network under the disequilibrium situation were described. Analysis result indicates that the evolution model of time price regulation accords with the classical Wardrop's first principle; the result of quantity regulation of congestion allows the degree of congestion on the key links of each path between OD to be the same; the result of price-congestion mixed regulation allows the path flow to be adjusted between the paths of lower cost and the ones of less congestion, the undulation of dynamic evolution of which is greater than that of the single regulation. In the test network, because the model only considers the choice behavior of congestion degree upon path, the congestion degree of whole traffic network is more uniform, and compared with the single price regulation model, the overall uniformity coefficient improves by 62%. However, the mean link saturation improves from 0.60 to 0.64, which indicates that the traffic network becomes congested overall. By considering the joint regulation of these two factors, the saturation of most congested link decreases from 0.936 to 0.787. The overall uniformity coefficient improves by 46%. The mean saturation of links, path travel time and congestion decrease. The test result of the medium size network also shows that such mixed equilibrium model can describe the dynamic evolution process of traffic flow on traffic network flexibly and objectively, and achieve steady state flow of traffic network system, which can explain the traffic travel behavior better. © 2018, Editorial Department of Journal of Traffic and Transportation Engineering. All right reserved.
语种：
英文
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考虑无人驾驶车辆影响的道路网络容量模型
作者：
黄中祥;覃定明;况爱武
期刊：
长沙理工大学学报(自然科学版) ,2018年15(4):45-51 ISSN：1672-9331
作者机构：
长沙理工大学交通运输工程学院,湖南长沙,410114;[覃定明; 黄中祥; 况爱武] 长沙理工大学
关键词：
交通工程;道路网络容量;混合均衡;无人驾驶车辆;市场渗透率;双层规划
摘要：
为了研究未来无人驾驶车辆对道路网络容量的影响,将路网上的车辆分为无人驾驶车辆和普通车辆两类,根据两类车辆的不同路径选择行为,构建考虑无人驾驶车辆影响的道路网络容量双层规划模型。上层模型为满足路段容量约束条件下的最大交通需求,其中各OD之间的交通需求采用均一的增长乘子;下层模型为考虑无人驾驶车辆影响的混合路径选择行为模型,其中普通车辆以极小化个体的出行成本为目标,而无人驾驶车辆以系统最优为目标。基于迭代平衡思想设计求解双层规划的启发式算法,并通过算例验证了模型和算法的有效性和可行性。研究结果表明:（1）当无人驾驶车辆的市场渗透率较低时,无人驾驶车辆对普通车辆的路径选择影响不大,道路网络混合均衡流量波动很小,道路网络容量增加不明显;（2）随着市场渗透率的增加,道路网络容量首先呈现缓慢增加的趋势,当无人驾驶车辆占据主导地位后,可利用的路径数量增多,流量在不同路段上分布更加均衡,道路网络容量快速增长,当网络中的车辆都是无人驾驶车辆时,整个系统处于最优运行状态,算例结果表明道路网络容量显著增加;（3）随着道路网络容量的增加,交通网络系统总阻抗也会增加,但每辆车的平均出行成本变化不大。
语种：
中文
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基于用户心理空间的自行车道安全评价研究
作者：
李源庆臻;张生;黄中祥
期刊：
交通科学与工程 ,2018年34(3):91-97 ISSN：1674-599X
作者机构：
长沙理工大学交通运输工程学院 ,湖南长沙,410114;[李源庆臻; 黄中祥; 张生] 长沙理工大学
关键词：
交通工程;自行车道;安全服务水平;心理空间;骑行轨迹线
摘要：
针对自行车道安全评价问题,建立了用户心理空间模型,用以反映用户安全心理范围。利用自行车道上骑行轨迹线数据,采用积分的方法,计算用户之间心理空间重叠面积。用事件前、后心理空间面积的变化、事件过程中的平均重叠面积及平均心理空间面积,计算用户心理空间影响率,以用户心理空间影响率和持续时间来反映事件对用户骑行安全的影响程度。以各个事件的影响率与持续时间的乘积之和定义用户骑行安全度,并将用户骑行安全度的均值定义为道路安全度,作为评价自行车道安全性的指标。通过对10条自行车道安全服务水平的理论计算和主观评分,将自行车道安全服务水平分为5个等级,并建立了基于用户心理空间的自行车道安全评价步骤。实验结果表明:基于用户心理空间的自行车道安全评价能更准确表达用户在骑行过程中的心理安全程度,且该方法可操作性强。
语种：
中文
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考虑通行能力折减的可变车道优化
作者：
蔡建荣;黄汝晴;黄中祥
期刊：
中南大学学报(自然科学版) ,2018年49(7):1838-1844 ISSN：1672-7207
通讯作者：
Huang, Zhongxiang(mehzx@126.com)
作者机构：
[蔡建荣; 黄中祥] School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha;410114, China;[黄汝晴] School of Traffic and Transportation Engineering, Central South University, Changsha;410075, China;[蔡建荣; 黄中祥] 410114, China
通讯机构：
School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha, China
关键词：
交通工程;潮汐现象;可变车道;双层规划;粒子群优化算法
摘要：
为有效缓解因潮汐现象所导致的交通拥堵和道路资源闲置并存的问题,在考虑车道数对路段单向通行能力影响的基础上研究可变车道优化设置方法。该方法在确保可变车道实施过程中轻交通流方向正常通行的前提下,基于非均衡经济学理论的价格-数量调节,以系统总出行时间最小为目标构建可变车道优化的混合整数双层规划模型,并采用粒子群优化算法对模型进行求解,以算例的形式验证模型和算法的有效性。研究结果表明:从系统层面优化可变车道设置能够充分利用轻交通流方向闲置的道路资源来提高重交通流方向路段的容量,从而改变其行程时间函数,进而调节流量在路网上的分布并均衡各路段的饱和度;使道路网络结构更好地匹配出行需求,在道路资源一定的情况下有效地降低系统总出行时间。
语种：
中文
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随机需求多目标连续均衡网络设计
作者：
方文彬;王涛;黄汝晴;黄中祥;曾铃
期刊：
中南大学学报(自然科学版) ,2018年49(9):2350-2355 ISSN：1672-7207
通讯作者：
Huang, Zhongxiang(mehzx@126.com)
作者机构：
[方文彬; 黄中祥; Zeng, Ling] School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha;410004, China;[王涛; 黄汝晴] School of Traffic and Transportation Engineering, Central South University, Changsha;410075, China;[方文彬; 黄中祥; Zeng, Ling] 410004, China
通讯机构：
School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China
关键词：
连续均衡网络设计;多目标规划;双层规划;服务水平可靠性;第二代非支配排序遗传算法
摘要：
为考察多目标特性以及需求不确定性对网络设计的影响,假设OD(origin destination)需求服从双侧截尾正态分布,构建多目标连续均衡网络设计的双层规划模型。上层规划以系统出行时间的期望最小、路网服务水平可靠性最大和投资预算最小为目标,下层规划采用用户均衡分配刻画出行者路径选择行为。给出基于蒙特卡洛仿真的多目标遗传求解算法,采用测试网络验证模型和算法的有效性。研究结果表明:采用多目标连续均衡网络设计模型可以获得多个非劣解供决策者选择;不同目标之间存在明显的相关关系,尤其是投资手段存在明显的边际递减效应,宜结合交通管理措施共同使用。
语种：
中文
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Modeling and Simulation of Travelers’ Route Choice Behavior Based on Disequilibrium Theory
作者：
黄中祥;伍建辉;况爱武;张生;许艳
期刊：
系统仿真学报 ,2018年30(11):4067-4078 ISSN：1004-731X
作者机构：
长沙理工大学交通运输工程学院,湖南长沙,410114;长沙理工大学交通运输工程学院,湖南长沙410114;湖南理工学院信息科学与工程学院,湖南岳阳414006;湖南理工学院信息科学与工程学院,湖南岳阳,414006;[伍建辉; 黄中祥; 张生; 况爱武] 长沙理工大学
关键词：
路径选择行为;随机交通分配;非均衡理论;价格调节;数量调节
摘要：
考虑出行异质性对交通流分布的影响,基于非均衡理论将出行者路径选择行为分为价格调节、数量调节和价格—数量调节三类,建立三种逐日动态随机分配模型,证明了逐日动态随机分配模型解的存在性、唯一性和稳定性。通过模型仿真,验证了三种逐日动态随机分配模型经有限次出行调整后,各路径流量均能收敛到稳定状态,价格—数量调节逐日动态随机分配模型能够模拟出行异质性对交通流分布形态与动态演化的影响。
语种：
中文
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Network Traffic Flow Evolution Model Based on Disequilibrium Theory
作者：
Huang, Zhongxiang;Wu, Jianhui* ;Huang, Ruqing;Xu, Yan
期刊：
Mathematical Problems in Engineering ,2018年2018:1-10 ISSN：1024-123X
通讯作者：
Wu, Jianhui
作者机构：
[Huang, Zhongxiang; Wu, Jianhui] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Hunan, Peoples R China.;[Xu, Yan; Wu, Jianhui] Hunan Inst Sci & Technol, Sch Informat Sci & Technol, Yueyang 414006, Peoples R China.;[Huang, Ruqing] Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China.
通讯机构：
[Wu, Jianhui] C;[Wu, Jianhui] H;Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Hunan, Peoples R China.;Hunan Inst Sci & Technol, Sch Informat Sci & Technol, Yueyang 414006, Peoples R China.
关键词：
Mathematical techniques;Equilibrium traffic flows;Evolution modeling;Existence and uniqueness theorem;Multiple user class;Network traffic flow;Numerical experiments;Stability condition;Stability theorems;Engineering
摘要：
The disequilibrium theory in economics is used to depict the network traffic flow evolution process from disequilibrium to equilibrium. Three path choice behavior criteria are proposed, and the equilibrium traffic flow patterns formed by these three criteria are defined as price regulation user equilibrium, quantity regulation user equilibrium, and price-quantity regulation user equilibrium, respectively. Based on the principle of price-quantity regulation user equilibrium, the method of network tatonnement process is used to establish a network traffic flow evolution model. The unique solution of the evolution model is proved by using Picard's existence and uniqueness theorem, and the stability condition of the unique solution is derived based on stability theorem of nonlinear system. Through numerical experiments, the evolution processes of network traffic flow under different regulation modes are analyzed. The results show that all the single price regulation, single quantity regulation, and price-quantity regulation can simulate the evolution process of network traffic flow. Price-quantity regulation is the combination of price regulation user equilibrium and quantity regulation user equilibrium, which thus can simulate the evolution process of network traffic flow with multiple user class. © 2018 Zhongxiang Huang et al.
语种：
英文
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基于无人驾驶车辆的可变车道优化方法
作者：
蔡建荣;黄中祥;吴立烜
期刊：
公路交通科技 ,2018年35(7):136-141,150 ISSN：1002-0268
作者机构：
[蔡建荣; 黄中祥; 吴立烜] 长沙理工大学交通运输工程学院, 湖南, 长沙, 410114
关键词：
智能运输系统;系统最优;混沌粒子群算法;可变车道;无人驾驶车辆;潮汐现象
摘要：
为充分利用道路资源,提高道路网络系统的运行效率,缓解因潮汐现象所导致的交通拥堵和道路资源闲置并存的问题,面向无人驾驶车辆普及的未来对可变车道优化方法开展了研究。根据用户最优和系统最优之间的关系,提出了通过ITS调控所有无人驾驶车辆实现系统最优的方法。在此基础上,进一步考虑可变车道对道路资源的调节作用,构建了基于无人驾驶车辆的系统最优可变车道模型。采用混沌粒子群算法对模型进行求解,并通过算例验证了模型和算法的有效性。研究结果表明:在无人驾驶车辆普及的未来,单纯通过ITS调控所有无人驾驶车辆在道路网络达到系统最优状态,由于不能很好地利用轻交通流方向闲置的道路资源来提高重交通流方向路段的容量从而调节道路网络结构更好地匹配居民出行需求,因此对于缓解因潮汐现象所导致的交通拥堵和道路资源闲置并存的问题效果并不突出,对于提高道路网络的运行效率亦有限。而结合可变车道优化后,可以很好地协调人、车、路之间的关系,调节道路网络结构更好地匹配居民出行需求,均衡各路段的饱和度,优化流量在道路网络上的分布,显著减少道路网络系统总出行时间,在最大程度上发挥道路资源的作用,保障道路网络系统高效运行,有效缓解因潮汐现象所导致的交通拥堵和道路资源闲置并存的问题。
语种：
中文
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Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair
作者：
Zhang, Sheng;Xiang, Guanhua;Huang, Zhongxiang*
期刊：
Journal of Advanced Transportation ,2018年2018:1-18 ISSN：0197-6729
通讯作者：
Huang, Zhongxiang
作者机构：
[Huang, Zhongxiang; Zhang, Sheng; Xiang, Guanhua] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Hunan, Peoples R China.
通讯机构：
[Huang, Zhongxiang] C;Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Hunan, Peoples R China.
关键词：
Global optimization;Integer programming;Particle swarm optimization (PSO);Repair;Sporting goods;Autoregressive integrated moving average models;Demand prediction;Discrete particle swarm optimization;Integer linear programming formulation;Rebalancing;Sharing systems;Variable neighborhood search;Bicycles
摘要：
Bike-sharing systems, which are used in many cities worldwide, need to maintain a balance between the availability of bicycles and the availability of unoccupied bicycle slots. This paper presents an investigation of the net flow of each bike-sharing station in Jersey City. The data was recorded at 1-minute intervals. The sum of the initial bicycle number and the minimum net flow value was determined to be the demand for static rebalancing, and this led to the proposal of a bike-sharing demand prediction method based on autoregressive integrated moving average models. Considering that the existence of bicycles in a state of disrepair may adversely affect demand prediction and routine planning, we present an integer linear programming formulation to model bike-sharing static rebalancing. The proposed formulation takes into account the problem introduced by the need to collect bicycles in need of repair. A hybrid Discrete Particle Swarm Optimization (DPSO) algorithm was proposed to solve the model, which incorporates a reduced variable neighborhood search (RVNS) functionality together with DPSO to improve the global optimization performance. The effectiveness of the algorithms was verified by a detailed numerical example. © 2018 Sheng Zhang et al.
语种：
英文
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城市道路建设时序决策的鲁棒优化
作者：
伍建辉;黄中祥;李武;吴健辉;彭鑫;...
期刊：
计算机科学 ,2018年45(4):89-93 ISSN：1002-137X
作者机构：
长沙理工大学交通运输工程学院, 长沙, 410114;湖南理工学院信息与通信工程学院, 湖南, 岳阳, 414006;[伍建辉] 长沙理工大学交通运输工程学院, 长沙, 410114 湖南理工学院信息与通信工程学院, 湖南, 岳阳, 414006;[黄中祥; 张生] 长沙理工大学交通运输工程学院, 长沙, 410114;[李武; 吴健辉; 彭鑫] 湖南理工学院信息与通信工程学院, 湖南, 岳阳, 414006
关键词：
交通网络设计;需求不确定;鲁棒优化;灵敏度
摘要：
为提高城市道路建设时序决策的鲁棒性,提出了城市道路建设时序决策优化的双层规划模型。模型假定出行需求在一定范围内扰动,上层规划是在有限资金的约束下寻求各建设阶段的系统总出行时间与系统总出行时间对出行需求的灵敏度之间的综合最小值,下层规划为各建设阶段的随机用户均衡配流。文中推导出了系统总出行时间对出行需求灵敏度的计算式,并给出了模型的求解算法。最后以一个测试路网为例,对基于系统总出行时间、基于灵敏度、基于系统总出行时间与灵敏度综合出行时间的决策优化模型进行了计算分析,结果显示3种决策优化模型均可寻求到各自目标最优的城市道路建设时序,但在需求不确定的情景下基于灵敏度、基于系统总出行时间与灵敏度综合出行时间的决策优化结果更具鲁棒性。
语种：
中文
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A day-to-day route flow evolution process towards the mixed equilibria
作者：
Zhou, Bojian;Xu, Min;Meng, Qiang* ;Huang, Zhongxiang
期刊：
Transportation Research Part C: Emerging Technologies ,2017年82:210-228 ISSN：0968-090X
通讯作者：
Meng, Qiang
作者机构：
[Zhou, Bojian] Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China.;[Meng, Qiang; Xu, Min] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore.;[Huang, Zhongxiang] Changsha Univ Sci & Technol, Sch Traff andTransportat Engn, Changsha 410004, Hunan, Peoples R China.
通讯机构：
[Meng, Qiang] N;Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore.
关键词：
Discrete day-to-day flow dynamic model;Goldstein rule;Mixed equilibrium state;Route flow evolution process
摘要：
This study investigates a travelers' day-to-day route flow evolution process under a predefined market penetration of advanced traveler information system (ATIS). It is assumed that some travelers equipped with ATIS will follow the deterministic user equilibrium route choice behavior due to the complete traffic information provided by ATIS, while the other travelers unequipped with ATIS will follow the stochastic user equilibrium route choice behavior. The interaction between these two groups of travelers will result in a mixed equilibrium state. We first propose a discrete day-to-day route flow adjustment process for this mixed equilibrium behavior by specifying the travelers' route adjustment principle and adjustment ratio. The convergence of the proposed day-to-day flow dynamic model to the mixed equilibrium state is then rigofously demonstrated under certain assumptions upon route adjustment principle and adjustment ratio. In addition, without affecting the convergence of the proposed day-to-day flow dynamic model, the assumption concerning the adjustment ratio is further relaxed, thus making the proposed model more appealing in practice. Finally, numerical experiments are conducted to illustrate and evaluate the performance of the proposed day-to-day flow dynamic model. (C) 2017 Elsevier Ltd. All rights reserved.
语种：
英文
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