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Analytical Method of Traffic Conflict at Urban Road Intersections Based on Risk Region 基于风险区域的城市道路交叉口交通冲突分析方法
Pub Date : 2021-01-01 DOI: 10.11908/J.ISSN.0253-374X.21158
yicheng Lu, Y. Zou, Kai Cheng, Lai Zheng, Selpi Selpi, Ting Zhu
A two-stage method of traffic conflict analysis was proposed based on risk region. By using the inD dataset, traffic conflicts were recognized with the calculation of time to risk region(tTTR), and then the degree of traffic conflict risk was judged by risk region duration. Compared with the method based on time-to-collision(tTTC), the proposed method can not only identify rear-end conflicts and crossing conflicts more effectively, but also characterize the degree of traffic conflict risk at different times.
提出了一种基于风险区域的两阶段交通冲突分析方法。利用inD数据集,通过计算到达风险区域的时间(tTTR)来识别交通冲突,然后通过风险区域持续时间来判断交通冲突的风险程度。与基于碰撞时间(tTTC)的方法相比,该方法不仅可以更有效地识别追尾冲突和交叉冲突,而且可以表征不同时刻的交通冲突风险程度。
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引用次数: 2
Characteristics of Mixed Traffic Flow in Two-lane Scenario Based on Cooperative Gaming Method 基于协同博弈方法的双车道混合交通流特性研究
Pub Date : 2019-01-01 DOI: 10.11908/j.issn.0253-374x.2019.07.009
Jingqiu Guo, S. Fang, X. Qu, Yibing Wang, Yangzexi Liu
This paper aims to explore the impacts of connected and automated vehicles (CAV) on traffic flow efficiency based on in-depth microscopic simulation studies using cooperative gaming method. First, the Gipps car-following models were integrated into an improved cellular automata model to mimic the regular vehicle's driving behavior. Then, cooperative gaming method integrated with enhanced Q-learning was employed as the modeling platform for CAV, to strengthen the capability of the simulation system in realistically reproducing CAV lane changing and car following behavior. Finally, a 2-lane freeway stretch was applied to our simulations, and with extensive simulation studies we obtained some promising results. The study results suggest that the impacts of CAV are quite positive. The inclusion of CAV considerably improves traffic flow, mean speed, and traffic capacity. Such understanding is essential for research concerning CAV as well as the CAV implication for future traffic management and control.
本文旨在通过深入微观仿真研究,利用协同博弈方法探讨车联网和自动驾驶对交通流效率的影响。首先,将Gipps汽车跟随模型整合到一个改进的元胞自动机模型中,模拟常规车辆的驾驶行为。然后,采用增强q -学习相结合的协同博弈方法作为自动驾驶汽车的建模平台,增强仿真系统真实再现自动驾驶汽车变道和跟车行为的能力。最后,将一个2车道的高速公路路段应用到我们的仿真中,通过大量的仿真研究,我们获得了一些有希望的结果。研究结果表明,CAV的影响是相当积极的。CAV的加入大大改善了交通流量、平均速度和交通容量。这样的理解对于CAV的研究以及CAV对未来交通管理和控制的影响是必不可少的。
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引用次数: 0
The consistency of horizontal alignment at tunnel entrance and exit zone 隧道进出口区水平走向的一致性
Pub Date : 2016-06-24 DOI: 10.1201/9781315643274-175
Zhen Yang, Haifeng Han, Ziyi Xiong, Donglin Lei
Current code of tunnel design lacks specific criterion for judging horizontal alignment at entrance and exit zone of highway tunnel.After 3-second freezing of steer wheel,the deviation of the track from the desired path is proposed to evaluate the consistency of horizontal alignment at tunnel entrance and exit,and the control threshold is 0.2 m.The design conditions are classified into three groups and studied in detail.Spiral curve parameter is found to be a significant design index to guarantee the consistency.Then the equations for derivation calculation in different cases are deduced,and the indexes of the horizontal alignment at the tunnel entrance and exit zone are proposed for more flexible design.Based on the research results,an analysis is made of the consistency of the horizontal alignment of a tunnel of Longquan-Qingyuan expressway,and improvement is proposed.
现行的隧道设计规范对公路隧道出入口区域的水平走向判断缺乏具体的规范。在方向盘冻结3秒后,提出轨道与期望路径的偏差来评价隧道出入口水平走向的一致性,控制阈值为0.2 m。将设计条件分为三类并进行了详细的研究。发现螺旋曲线参数是保证一致性的重要设计指标。在此基础上,推导了不同情况下的推导计算公式,并提出了隧道进出口区水平走向指标,使设计更加灵活。在研究结果的基础上,对龙泉-清远高速公路某隧道水平线形的一致性进行了分析,并提出了改进建议。
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引用次数: 1
Distinct element method simulation of bonded-type methane hydrate bearing sediments exploitation by thermal recovery-depressurization combined method 热采-降压联合开采黏结型含甲烷水合物沉积物的离散元法模拟
Pub Date : 2015-01-01 DOI: 10.11908/j.issn.0253-374x.2015.10.005
M. Jiang, C. Fu, J. He, Fangyuan Zhu
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引用次数: 0
Proactive assessment of real-time traffic flow accident risk on urban expressway 城市高速公路实时交通流事故风险的主动评估
Pub Date : 2014-01-01 DOI: 10.3969/J.ISSN.0253-374X.2014.06.008
Jian Sun, Jie Sun
Based on dual-loop detector data and accident data collected on Shanghai expressway, the Bayesian networks (BN) model was adopted for the modeling and analysis of real-time traffic flow parameters and accident risk on expressways. Gaussian mixture model and the expectation-maximization algorithm which could effectively deal with the missing data were also used in the parameters estimation of BN model. Then real-time traffic safety risk was evaluated, and accident warning could be carried out in advance. Different combinations of dual-loop detector data and time segments before accidents were used to develop the optimal accident risk estimation model by BN. The results show that the BN model adopting the nearest detector data upstream and downstream of the accident site within 5 to 10 minutes before the accident performs the best and the accident prediction accuracy is up to 76.94%. At last, a comparative study was made of the classical accident risk estimation algorithms including naive Bayes classifier, K nearest neighbor and back propagation (BP) neural network as well as the existing real-time risk assessment studies. And the results show that the BN model obtains the best predictive results. Language: zh
基于上海高速公路双环检测器数据和事故数据,采用贝叶斯网络(BN)模型对高速公路实时交通流参数和事故风险进行建模和分析。采用高斯混合模型和期望最大化算法对BN模型进行参数估计,可以有效地处理缺失数据。实时评估交通安全风险,提前进行事故预警。利用双环探测器数据和事故前时间段的不同组合,建立了最优事故风险估计模型。结果表明,在事故发生前5 ~ 10分钟内,采用事故现场上下游最近的探测器数据的BN模型表现最好,事故预测准确率高达76.94%。最后,对朴素贝叶斯分类器、K近邻和BP神经网络等经典的事故风险估计算法与现有的实时风险评估研究进行了比较研究。结果表明,BN模型具有较好的预测效果。语言:zh型
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引用次数: 8
Key variables identification and proactive assessment of real-time traffic flow accident risk on urban expressway 城市高速公路实时交通流事故风险关键变量识别与主动评估
Pub Date : 2014-01-01 DOI: 10.11908/J.ISSN.0253-374X.2015.02.009
F. Jia, Jie Sun, Jian Sun
Based on accident data and detector data collected on two expressways in Shanghai, important variables for model construction were selected from the data of traffic flow within 5~10 min before the accident with random forest model. Then, the Bayesian network (BN) model based on the Gaussian mixture model and expected maximum algorithm was established for the analysis of real-time traffic flow state and accident risk. Meanwhile, the transferability of BN model was also assessed. The results show that BN model built with selected important variables is better than that with direct detection data, with the accident prediction accuracy rate of 82.78%. The results of the transferability show that the improved BN model is still better than the traditional model, though the accident prediction accuracy of BN model decreases.
基于上海市2条高速公路的事故数据和检测器数据,采用随机森林模型从事故发生前5~10 min的交通流数据中选取重要的模型构建变量。然后,建立了基于高斯混合模型和期望最大值算法的贝叶斯网络(BN)模型,用于实时交通流状态和事故风险分析。同时,还对BN模型的可转移性进行了评估。结果表明,选择重要变量构建的BN模型比直接检测数据构建的BN模型效果更好,事故预测准确率为82.78%。可转移性结果表明,改进后的神经网络模型仍优于传统模型,但其事故预测精度有所下降。
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引用次数: 1
Centrifugal test on a reinforced soil wall with flexible/rigid facings 柔性/刚性加筋土墙的离心试验
Pub Date : 2014-01-01 DOI: 10.11908/J.ISSN.0253-374X.2014.12.004
Jianfeng Chen, Junxiu Liu, J. Xue
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引用次数: 1
A DIBR View Judgment-based Fold-elimination Approach 一种基于DIBR视图判断的折叠消除方法
Pub Date : 2013-01-01 DOI: 10.3969/J.ISSN.0253-374X.2013.01.024
Hui Xie, Yingchun Tan, Guoqin Tai, Ran Liu
"Folds" may appear when the depth-image-based rendering(DIBR) technique is used to generate destination image.In order to remove the folds,an approach to determine the scan order of reference image by view judgment is proposed.First,the z coordinate of epipole is set as an infinitesimal,then the scan order of reference image rendering the left or the right view is determined by the new homogeneous coordinates of epipole.Accordingly,the scan order of reference image can be determined by the destination image which is left view or right view.Experimental results show that the proposed approach can eliminate folds with less complexity in contrast to the Z-buffer algorithm,and it is adaptable to virtual view rendering when the virtual viewpoint shifts horizontally.
使用基于深度图像的渲染(DIBR)技术生成目标图像时,可能会出现“褶皱”现象。为了消除折痕,提出了一种通过视图判断确定参考图像扫描顺序的方法。首先将极点的z坐标设为无穷小,然后根据极点的新齐次坐标确定呈现左视图或右视图的参考图像的扫描顺序。因此,参考图像的扫描顺序可以由目标图像确定,目标图像为左视图或右视图。实验结果表明,与Z-buffer算法相比,该方法能够以较低的复杂度消除折痕,并且适用于虚拟视点水平移动时的虚拟视图绘制。
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引用次数: 3
Effect of temperature and stirring on biogas production by anaerobic fermentation with bagasse 温度和搅拌对甘蔗渣厌氧发酵产气的影响
Pub Date : 2012-12-01 DOI: 10.3969/J.ISSN.0253-374X.2012.S2.009
Xinliang Gao, Shuiping Yan, Qingyao He, Chaoyang Fang
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引用次数: 0
Performance of CO2 absorption from biogas by using novel amino acid salts 新型氨基酸盐对沼气CO2吸收性能的研究
Pub Date : 2012-12-01 DOI: 10.3969/J.ISSN.0253-374X.2012.S2.026
Shuiping Yan, Jing'ao Chen, Qingyao He, Ping Ai, Wang Yuanyuan, Yan-lin Zhang
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引用次数: 0
期刊
Journal of Tongji University
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