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Modification of bitumen with polyether-based polyurethanes containing different hard segments 用含有不同硬段的聚醚基聚氨酯改性沥青
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-04-01 DOI: 10.1016/j.jtte.2023.01.006
Zengping Zhang , Hao Liu , Youxin Zhu , Liqi Chen , Jia Sun , Li Wang , Ting Huang
To expand the application of polyurethane (PU) modified bitumen, it is necessary to understand the influence of PU raw materials on PU modified bitumen systematically. Three polyether-based polyurethanes were used to modify the unmodified bitumen, synthesised from toluene diisocyanate (TDI), diphenylmethane diisocyanate (MDI), and polyaryl polyisocyanate (PAPI) by reaction with polytetrahydrofuran diol (PTMEG) respectively. And the performance of polyether-based PU modified bitumen was investigated at various contents of isocyanates. Firstly, the modification mechanism of PU modified bitumen binders was analysed by Fourier transform infrared spectroscopy (FTIR). Then, the high and low temperature properties and resistance to permanent deformation of modified bitumen binders were investigated through dynamic shear rheometer (DSR) test, bending beam rheometer (BBR) test and multiple stress creep recovery (MSCR) test. Finally, the microstructure and molecular movement were analyzed by fluorescence microscopy (FM), atomic force microscopy (AFM) and differential scanning calorimetry (DSC). As the results show, there are significant differences in the molecular structure, cross-linking and hydrogen bonding of polyurethane modifiers synthesised from different isocyanates, which then affect the interaction between polyurethane molecules and bitumen molecules and result in different modification effects on bitumen. Concerning high-temperature properties and storage stability, PU synthesised by PAPI is the best solution for improving bitumen. PU synthesised by TDI offers the best improvement in low temperature performance. It is worth noting that the PU synthesised by MDI provides a more balanced improvement in high and low temperature performances. This study provides guidance for the development of PU modified bitumen.
为了扩大聚氨酯改性沥青的应用,有必要系统地了解聚氨酯原料对聚氨酯改性沥青的影响。以甲苯二异氰酸酯(TDI)、二苯基甲烷二异氰酸酯(MDI)和聚芳基聚异氰酸酯(PAPI)为原料,分别与聚四氢呋喃二醇(PTMEG)反应合成了未改性沥青。研究了不同异氰酸酯含量下聚醚基PU改性沥青的性能。首先,利用傅里叶变换红外光谱(FTIR)分析了聚氨酯改性沥青粘结剂的改性机理。然后,通过动态剪切流变仪(DSR)试验、弯曲梁流变仪(BBR)试验和多重应力蠕变恢复(MSCR)试验,研究改性沥青粘结剂的高低温性能和抗永久变形性能。最后,利用荧光显微镜(FM)、原子力显微镜(AFM)和差示扫描量热法(DSC)对其微观结构和分子运动进行了分析。结果表明,不同异氰酸酯合成的聚氨酯改性剂在分子结构、交联和氢键方面存在显著差异,从而影响聚氨酯分子与沥青分子的相互作用,对沥青产生不同的改性效果。从高温性能和贮存稳定性来看,PAPI合成PU是改善沥青的最佳方案。TDI合成PU的低温性能改善效果最好。值得注意的是,MDI合成的PU在高低温性能上的改善更为均衡。该研究对聚氨酯改性沥青的开发具有指导意义。
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引用次数: 0
Innovative methods for quantifying the moisture susceptibility of asphalt mixtures 量化沥青混合料水分敏感性的创新方法
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-04-01 DOI: 10.1016/j.jtte.2024.04.008
Vikas Kumar , Erdem Coleri , Ihsan Obaid
Moisture damage in asphalt mixtures can cause early cracking and rutting failures due to the internal damage accumulated by the high internal pore pressures created at the aggregate-binder interface and/or within the binder phase by heavy traffic loads. Tensile strength ratio (TSR) test results have not been effective indicators of moisture susceptibility of the asphalt mixtures. Therefore, a reliable moisture conditioning method and moisture susceptibility test need to be developed and implemented to determine the possible long-term impact of several new additive technologies on pavement longevity. In this study, different tests and conditioning methods for moisture susceptibility quantification of asphalt mixtures were evaluated, and a new test method incorporating a color measuring device was also developed that could identify the impact of different anti-stripping agents and warm-mix additives on moisture susceptibility of asphalt mixtures. Results indicated that the moisture-induced stress tester (MIST) conditioned and vacuum conditioned samples showed similar susceptibility towards rutting and moisture. Moreover, the CT-index parameter was not found to correlate with the moisture susceptibility of the mixes. Based on the results of the laboratory investigations, this study recommends the use of a colorimeter in conjunction with the current TSR method to determine the adhesion and cohesion-related moisture susceptibility.
沥青混合料中的水分损伤会导致早期开裂和车辙失效,这是由于在集料-粘结剂界面和/或在重型交通荷载的粘结剂阶段产生的高内部孔隙压力所累积的内部损伤。抗拉强度比(TSR)试验结果并不是沥青混合料水敏感性的有效指标。因此,需要开发和实施一种可靠的水分调节方法和水分敏感性试验,以确定几种新添加剂技术对路面寿命可能产生的长期影响。本研究对沥青混合料湿敏感性量化的不同测试方法和调节方法进行了评价,并开发了一种结合颜色测量装置的新测试方法,可以识别不同抗剥离剂和温混合料添加剂对沥青混合料湿敏感性的影响。结果表明,湿致应力试验(MIST)条件下和真空条件下样品对车辙和水分的敏感性相似。此外,ct指数参数与混合料的水敏感性没有相关性。根据实验室调查的结果,本研究建议使用色度计结合当前的TSR方法来确定粘附性和粘聚性相关的水分敏感性。
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引用次数: 0
Investigation on the low temperature rheological properties of polymer modified asphalt 聚合物改性沥青低温流变性能研究
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-04-01 DOI: 10.1016/j.jtte.2023.02.010
Zhen Fu , Ruimeng Song , Wen Qin , Ke Shi , Feng Ma , Jiarong Li , Chao Li
Traditional pavement is prone to cracks, and other distresses in cold regions. In this case, asphalt modification is a common technique used to improve the performance of asphalt. This study attempts to compare the low temperature properties of three modified asphalts. For this purpose, the addition of crumb rubber (CR), modified crumb rubber (MCR), and styrene-butadiene-styrene (SBS) to the base asphalt, respectively, and CR modified asphalt, MCR modified asphalt, and SBS modified asphalt is firstly prepared. Then, the asphalt specimens are subjected to a thin film oven test (TFOT) and pressurized aging vessel (PAV) test. The bending beam rheometer (BBR) test is conducted to compare the rheology characteristics and anti-aging performance of three modified asphalts. Furthermore, the low temperature performance of three modified asphalts is compared by three approaches based on the performance grade (PG), critical low temperature, and Burgers model. The BBR results show that the CR modified asphalt has the best low temperature performance. However, the CR modified asphalt show poor aging resistance, SBS modified asphalt, and MCR modified asphalt have better aging resistance. In terms of the Burgers model, it is established to analyze the resistance to low temperature cracking of four asphalts from the perspective of viscoelastic properties. Different viscoelastic parameters indicate that the low temperature performance of CR modified asphalt is superior to the other asphalts, which is consistent with the result of the critical low temperatures.
传统的路面在寒冷地区容易出现裂缝和其他病害。在这种情况下,沥青改性是一种常用的技术,用于提高沥青的性能。本研究试图比较三种改性沥青的低温性能。为此,首先在基础沥青中分别加入橡胶屑(CR)、改性橡胶屑(MCR)和苯乙烯-丁二烯-苯乙烯(SBS),制备了CR改性沥青、MCR改性沥青和SBS改性沥青。然后对沥青试件进行了薄膜烘箱试验(TFOT)和加压老化容器试验(PAV)。通过弯曲梁流变仪(BBR)试验,比较了三种改性沥青的流变特性和抗老化性能。此外,通过性能等级(PG)、临界低温和Burgers模型三种方法对三种改性沥青的低温性能进行了比较。BBR试验结果表明,CR改性沥青具有最佳的低温性能。而CR改性沥青的抗老化性能较差,SBS改性沥青和MCR改性沥青的抗老化性能较好。建立Burgers模型,从粘弹性角度分析四种沥青的耐低温开裂性能。不同的粘弹性参数表明,CR改性沥青的低温性能优于其他沥青,这与临界低温的结果一致。
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引用次数: 0
An intelligent bridge multi-dimension deflection IoT monitoring system based on laser datum and imaging 基于激光基准和成像的智能桥梁多维挠度物联网监测系统
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-04-01 DOI: 10.1016/j.jtte.2023.06.006
Dan Zhao , Huifeng Wang , Hao Du , Haoyi Cheng , Lu Peng , Yaru Liang , He Huang , Yunmeng Li
Aiming at the all-weather automatic monitoring of bridge structure health monitoring, an embedded bridge multi-dimensional (horizontal and vertical) deflection monitoring system based on dual laser references is proposed. The controller turns on the laser reference transmitter through instructions to emit the laser reference. The intelligent target system located in the middle of the span will calculate the multi-dimensional deflection and deformation information of the bridge structure according to the laser spot projected on the diffuse optical target, and pass this information through the wireless network communication unit transmits to the cloud platform to realize real-time monitoring of the bridge structure status and other parameters. Through the laboratory platform, it is found that the measurement error of this method is less than 300 μm, and the data update rate is less than 66 ms, which meets the requirements of bridge structural health monitoring. This method solves the problem of low efficiency of artificial bridge deflection monitoring, realizes all-weather online real-time monitoring of bridge deflection detection, and ensures the accuracy and efficiency of the measurement system. Applying this monitoring technology not only significantly improves the efficiency and accuracy of bridge structural health monitoring but also plays a crucial role in ensuring safe bridge operations, extending the service life of bridges, and reducing maintenance costs.
针对桥梁结构健康监测的全天候自动监测,提出了一种基于双激光参考的嵌入式桥梁多维(水平和垂直)挠度监测系统。控制器通过指令开启激光基准发射器发射激光基准。位于跨距中间的智能目标系统将根据投射在漫射光目标上的激光光斑计算桥梁结构的多维挠度和变形信息,并将这些信息通过无线网络通信单元传输到云平台,实现对桥梁结构状态等参数的实时监控。通过实验平台,发现该方法的测量误差小于300 μm,数据更新速率小于66 ms,满足桥梁结构健康监测的要求。该方法解决了人工桥梁挠度监测效率低的问题,实现了桥梁挠度检测全天候在线实时监测,保证了测量系统的准确性和高效性。应用该监测技术,不仅可以显著提高桥梁结构健康监测的效率和准确性,而且对保证桥梁安全运行、延长桥梁使用寿命、降低维修成本具有至关重要的作用。
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引用次数: 0
Long tunnel group driving fatigue detection model based on XGBoost algorithm 基于XGBoost算法的长隧道群行驶疲劳检测模型
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.02.008
Huazhi Yuan , Kun Zhao , Ying Yan , Li Wan , Zhending Tian , Xinqiang Chen
Driving fatigue is one of the important causes of accidents in tunnel (group) sections. In this paper, in order to effectively identify the driving fatigue of tunnel (group) drivers, an eye tracker and other instruments were used to conduct real vehicle tests on long tunnel (group) expressways and thus obtain the eye movement, driving duration, and Karolinska sleepiness scale (KSS) data of 30 drivers. The impacts of the tunnel and non-tunnel sections on drivers were compared, and the relationship between blink indexes, such as the blink frequency, blink duration, mean value of blink duration, driving duration, and driving fatigue, was studied. A paired t-test and a Spearman correlation test were performed to select the indexes that can effectively characterize the tunnel driving fatigue. A driving fatigue detection model was then developed based on the XGBoost algorithm. The obtained results show that the blink frequency, total blink duration, and mean value of blink duration gradually increase with the deepening of driving fatigue, and the mean value of blink duration is the most sensitive in the tunnel environment. In addition, a significant correlation exists between the driving duration index and driving fatigue, which can provide a reference for improving the tunnel safety. Using the mean value of blink duration and driving duration as the characteristic indexes, the accuracy of the driving fatigue detection model based on the XGBoost algorithm reaches 98%. The cumulative and continuous tunnel proportion effectively estimates the driving fatigue state in a long tunnel (group) environment.
驾驶疲劳是隧道(群)段事故发生的重要原因之一。为了有效识别隧道(群)驾驶员的驾驶疲劳,本文利用眼动仪等仪器在长隧道(群)高速公路上进行了实车试验,获得了30名驾驶员的眼动、驾驶持续时间和Karolinska sleepiness scale (KSS)数据。比较了隧道路段和非隧道路段对驾驶员的影响,研究了眨眼次数、眨眼持续时间、眨眼平均时间、驾驶持续时间、驾驶疲劳等眨眼指标之间的关系。通过配对t检验和Spearman相关检验,选择能够有效表征隧道驾驶疲劳的指标。建立了基于XGBoost算法的驾驶疲劳检测模型。结果表明,随着驾驶疲劳程度的加深,驾驶员的眨眼频率、总眨眼持续时间和眨眼持续时间均值逐渐增加,其中眨眼持续时间均值在隧道环境中最为敏感。此外,行车持续时间指标与行车疲劳之间存在显著的相关关系,可为提高隧道安全性提供参考。以眨眼时间均值和行驶时间均值为特征指标,基于XGBoost算法的驾驶疲劳检测模型准确率达到98%。累积和连续隧道比例可以有效地估计长隧道(群)环境下的行车疲劳状态。
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引用次数: 0
Using piezoelectric technology to harvest energy from pavement: A review 利用压电技术从路面获取能量:综述
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2024.11.002
Keliang Mou , Xiaoping Ji , Jie Liu , Haoyu Zhou , Haochen Tian , Xiaojuan Li , Honghui Liu
A key point in building a contemporary energy system is the search for sustainable and green energy. Many green energy sources exist in the road or pavement domain, such as solar, thermal, wind, and mechanical energy, etc. Under the repeated vehicle loads, stresses and strains are generated in the pavement, which can generate substantial mechanical energy. In recent two decades, there has been a growing scholarly preference for utilizing the piezoelectric effect to convert mechanical energy from pavement into electricity to supply low-power transportation facilities, pavement sensors, etc. This paper provides an in-depth review of state-of-the-art advances in road piezoelectric energy harvesters. The basic principle of piezoelectric energy harvesting and common piezoelectric materials were briefly introduced. The piezoelectric energy harvesters suitable for roads are thoroughly reviewed from five perspectives: structure, finite element analyses, protective packaging, management circuit, and application. Finally, the challenges faced by piezoelectric energy harvesters for pavements were summarized, and the potential research directions were also proposed. This review serves as a valuable reference for advancing road piezoelectric harvesting technology development.
构建当代能源体系的一个关键点是寻找可持续的绿色能源。许多绿色能源存在于道路或路面领域,如太阳能、热能、风能和机械能等。在车辆反复荷载作用下,路面会产生应力和应变,产生大量的机械能。近二十年来,越来越多的学者倾向于利用压电效应将路面的机械能转化为电能,为低功耗的交通设施、路面传感器等供电。本文对道路压电能量采集器的最新进展进行了深入的综述。简要介绍了压电能量收集的基本原理和常用的压电材料。从结构、有限元分析、防护封装、管理电路和应用五个方面对适用于道路的压电能量采集器进行了全面的综述。最后,总结了路面压电能量采集器面临的挑战,并提出了未来的研究方向。本文对推进道路压电采集技术的发展具有重要的参考价值。
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引用次数: 0
Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network 基于EMD-LSTM-BiLSTM神经网络的剩余车位预测
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.01.004
Changxi Ma, Xiaoting Huang, Ke Wang, Yongpeng Zhao
The traffic congestion caused by the mismatch between the demand of car owners and the supply of parking spaces has become one of the severe traffic problems in various places. It is important to predict the remaining parking space which can not only help the driver to plan their trips reasonably but also reduce the pressure on urban road traffic. To reduce the stochastic fluctuations of complex data and improve the predictability of parking spaces, a hybrid prediction model EMD-LSTM-BiLSTM is proposed, which is combined the adaptive ability of empirical mode decomposition (EMD) to process time series data and the advantage of long short-term memory network (LSTM) and bidirectional long short-term memory network (BiLSTM) to solve long-range dependencies. First, the EMD algorithm is employed to decompose the components of different scales in the time series and generate a series of mode functions with the same characteristic scale. Next, the construction, training, and prediction of the LSTM-BiLSTM neural network are completed in the deep learning framework of Keras. BiLSTM was built for proposing the bi-directional temporal features of the sequences, and LSTM was responsible for learning the output features, which effectively avoids large prediction errors. Finally, the performance of the model is verified by the actual parking data sets of different parking lots for parking space prediction. The proposed hybrid model is compared with a variety of current mainstream deep learning algorithms, and the effectiveness of the EMD-LSTM-BiLSTM method is validated. The results may provide some potential insights for parking prediction.
由于车主需求与停车位供给不匹配而导致的交通拥堵,已成为各地严重的交通问题之一。对剩余停车空间进行预测,不仅可以帮助驾驶员合理规划行程,而且可以减轻城市道路交通的压力。为了降低复杂数据的随机波动,提高停车位的可预测性,提出了一种混合预测模型EMD-LSTM-BiLSTM,该模型结合了经验模态分解(EMD)处理时间序列数据的自适应能力和长短期记忆网络(LSTM)和双向长短期记忆网络(BiLSTM)解决长期依赖关系的优势。首先,利用EMD算法对时间序列中不同尺度的分量进行分解,生成一系列具有相同特征尺度的模态函数。接下来,在Keras的深度学习框架中完成LSTM-BiLSTM神经网络的构建、训练和预测。BiLSTM用于提出序列的双向时间特征,LSTM负责学习输出特征,有效避免了较大的预测误差。最后,通过不同停车场的实际停车数据集对模型的性能进行验证,用于车位预测。将所提出的混合模型与当前多种主流深度学习算法进行比较,验证了EMD-LSTM-BiLSTM方法的有效性。研究结果可能为停车预测提供一些潜在的见解。
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引用次数: 0
Risk diagnosis model for high-speed rail safety operation in big-data environment 大数据环境下高铁安全运行风险诊断模型
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.03.003
Qizhou Hu, Xin Guan, Xiaoyu Wu
Aiming at the risk issue of high-speed rail (HSR) safety operation, big data technology and uncertain mathematical method are adopted to study it. Firstly, from the perspective of system science, the risk diagnosis mode of HSR safety operation is put forward, which mainly includes the operation environment diagnosis mode based on multivariate product, high-speed train diagnosis mode based on failure influence, staff diagnosis mode based on management conditions, track diagnosis mode based on probability safety, etc. And based on comprehensive analysis, the conventional risk diagnosis index system is constructed. Then the dynamic diagnosis index system based on principal component analysis is proposed, and the risk diagnosis model of HSR safety operation is established. The diagnosis model can quickly evaluate the operation situations of HSR, and the diagnosis results are conducive to grasping the situation of risk events quickly and accurately, so as to meet the timeliness requirements of emergency decision-making. Finally, to verify the effectiveness of this new model, the Beijing–Shanghai HSR is selected as a case study. The analysis results show that the diagnosis model can quickly diagnose the safety operation situation of HSR, simplify the evaluation process and improve the efficiency of the comprehensive evaluation of emergencies.
针对高铁安全运行的风险问题,采用大数据技术和不确定数学方法对其进行研究。首先,从系统科学的角度提出了高铁安全运行风险诊断模式,主要包括基于多变量乘积的运行环境诊断模式、基于故障影响的高铁列车诊断模式、基于管理条件的人员诊断模式、基于概率安全的轨道诊断模式等。在综合分析的基础上,构建了常规风险诊断指标体系。在此基础上,提出了基于主成分分析的动态诊断指标体系,建立了高铁安全运行风险诊断模型。该诊断模型可以快速评估高铁运行情况,诊断结果有利于快速准确地掌握风险事件的情况,从而满足应急决策的时效性要求。最后,以京沪高铁为例,验证了该模型的有效性。分析结果表明,该诊断模型能够快速诊断高铁安全运行状况,简化评价流程,提高突发事件综合评价效率。
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引用次数: 0
A comparison on the effects of coal fines and sand fouling on the shear behaviors of railway ballast using large scale direct shear tests 采用大型直剪试验比较了煤粉和砂土污染对铁路道砟剪切特性的影响
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2022.09.003
Xu Zhang , Shunying Ji , Yang Feng , Yongjun Li , Chunfa Zhao
Railway ballast is easily contaminated by different fouling material and the fouled ballast always causes the deterioration of railway track. Many previous studies focused on the effect of a certain kind of fouling material on ballast performance, but few studies compared the influence of different fouling material. This paper presents a series of direct shear tests on the clean ballast and the fouled ballast mixed with coal fines or sand to understand the effects of different fouling material. A unified empirical model is proposed to well capture the shear stress-displacement responses of the clean and fouled ballast. Empirical equations are also obtained to characterize the variation of the nonlinear shear strength envelope of the fouled ballast with the fouling content. Based on these equations, a simple method is proposed to predict the shear strength of the fouled ballast using the shear test results of clean ballast. The measured results demonstrate significant differences between the effects of coal fines and sand on the shear behaviors of ballast, to which particular attention should be paid in order to take targeted maintenance measures for the fouled ballast. The mechanisms for the different effects of coal fines and sand are also analyzed to understand the roles that various fouling material plays in the fouled ballast.
铁路道砟容易受到各种污垢物质的污染,其污染往往会导致铁路轨道的劣化。以往的研究多集中于某一种污垢材料对压载性能的影响,但比较不同污垢材料对压载性能影响的研究较少。本文通过对洁净压舱水和掺入煤粉或砂土的污染压舱水进行一系列直剪试验,了解不同污染物质对压舱水的影响。提出了一个统一的经验模型,可以很好地反映清洁和污染压舱物的剪切应力-位移响应。得到了污舱非线性抗剪强度包络线随污量变化的经验方程。在此基础上,提出了一种利用清洁压舱物剪切试验结果预测污染压舱物抗剪强度的简便方法。实测结果表明,煤粉与砂土对压舱物剪切特性的影响存在显著差异,应引起重视,对受污染的压舱物采取有针对性的维护措施。分析了煤粉和砂土对压舱物不同影响的机理,了解了不同污染物质在压舱物污染中的作用。
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引用次数: 0
Bayesian spatial modeling for speeding likelihood using floating car trajectories 基于浮动汽车轨迹的超速可能性贝叶斯空间建模
IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-01 DOI: 10.1016/j.jtte.2023.07.013
Haiyue Liu , Chaozhe Jiang , Chuanyun Fu , Yue Zhou , Chenyang Zhang , Zhiqiang Sun
Speeding likelihood is usually used to measure drivers' propensity of committing speeding. Albeit some studies have analyzed speeding likelihood, most of them are inadequate in considering spatial effects when analyzing speeding behaviors on urban road networks. This study aims to fill this knowledge gap by modeling speeding likelihood with spatial models and then evaluate the influence of contributing factors. The percent of speeding observations (PSO) is adopted to represent the speeding likelihood. The speeding behaviors and PSO of each floating car (i.e., taxi) are extracted from the GPS trajectories in Chengdu, China. PSO is modeled by several Bayesian beta general linear models with spatial effects, namely the beta model, beta logit-normal model, beta intrinsic conditional autoregressive (ICAR) model, beta Besag-York-Mollié (BYM) model, and beta BYM2 model. Results show that the beta BYM2 model performs better than other models in terms of data-fitting. According to the estimates from the beta BYM2, spatial correlation is the main reason for the model variability. The roads with more lanes and roads linked by elevated roads are found to increase the speeding likelihood, while higher speed limits, intersection density, traffic congestion, and roadside parking are associated with lower speeding likelihood. These findings provide valuable insights for designing effective anti-speeding countermeasures on urban road networks.
超速可能性通常用来衡量司机超速的倾向。虽然有一些研究分析了超速可能性,但在分析城市路网超速行为时,大多没有考虑到空间效应。本研究旨在利用空间模型对超速似然进行建模,以填补这一知识空白,并评估各影响因素的影响。采用超速观测的百分比(PSO)来表示超速可能性。从成都市的GPS轨迹中提取了每辆浮动汽车(即出租车)的超速行为和PSO。PSO模型采用几种具有空间效应的贝叶斯β一般线性模型,即β模型、β logit-normal模型、β intrinsic conditional autoregressive (ICAR)模型、β besag - york - molli (BYM)模型和β BYM2模型。结果表明,beta BYM2模型在数据拟合方面优于其他模型。根据beta BYM2的估计,空间相关性是造成模式变异的主要原因。车道较多的道路和高架道路连接的道路增加了超速可能性,而较高的限速、交叉口密度、交通拥堵和路边停车与较低的超速可能性相关。这些发现为设计有效的城市道路网络反超速对策提供了有价值的见解。
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引用次数: 0
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