Charging load prediction method for expressway electric vehicles considering dynamic battery state-of-charge and user decision

Accurate prediction of electric vehicle(EV)charging loads is a foundational step in the establishment of expressway charging infrastructures.This study introduces an approach to enhance the precision of expressway EV charging load predictions.The method considers both the battery dynamic state-of-charge(SOC)and user charging decisions.Expressway network nodes were first extracted using the open Gaode Map API to establish a model that incorporates the expressway network and traffic flow fea-tures.A Gaussian mixture model is then employed to construct a SOC distribution model for mixed traffic flow.An innovative SOC dynamic translation model is then introduced to capture the dynamic characteristics of traffic flow SOC values.Based on this foun-dation,an EV charging decision model was developed which considers expressway node distinctions.EV travel characteristics are extracted from the NHTS2017 datasets to assist in constructing the model.Differentiated decision-making is achieved by utilizing improved Lognormal and Sigmoid functions.Finally,the proposed method is applied to a case study of the Lian-Huo expressway.An analysis of EV charging power converges with historical data and shows that the method accurately predicts the charging loads of EVs on expressways,thus revealing the efficacy of the proposed approach in predicting EV charging dynamics under expressway scenarios.

Reinforcement Technology for Soft Soil Roadbed in the Widened Section of Expressway Expansion

This article examines the soft soil roadbed reinforcement technology for widened sections of highways in a specific project.It provides an overview of the project,the principles of soft soil roadbed reinforcement technology for wide sections,and its practical application.The analysis aims to offer guidance on applying soft soil roadbed wide section reinforcement technology and enhancing the overall quality of similar projects.

高速公路对绿色经济效率的影响分析--基于产业结构优化视角

当前中国高速公路建设布局日趋完善,探究如何发挥其对地区产业结构优化的有力支持,进而助力绿色经济发展转型具有重要意义。论文基于2006—2019年中原城市群27个城市的面板数据,运用超效率SBM模型测算其绿色经济效率,从产业结构优化的视角实证分析了高速公路对绿色经济效率的影响,并以产业结构优化为中介与门槛变量,进一步探讨产业结构优化对于高速公路影响绿色经济效率的门槛效应。研究结果表明:中原城市群高速公路与绿色经济效率间呈现先抑制后促进的“U”型关系;产业结构优化在高速公路和绿色经济效率间发挥部分中介作用;产业结构优化存在单一门槛效应,随着产业结构优化水平的提升,高速公路对绿色经济效率由抑制作用转为促进作用。

基于SBAS InSAR技术的叙古高速沿线滑坡识别与监测

叙永—古蔺高速公路(叙古高速)位于四川盆地南缘,线路周边地质条件复杂,其安全运营受到地质灾害威胁,因此,叙古高速沿线地质灾害的识别分析具有十分重要的意义。合成孔径雷达干涉测量(interferometric synthe-tic aperture Radar,InSAR)技术具有全天时全天候、覆盖范围大和毫米级地表形变监测的优势,在广域滑坡识别监测中发挥了重要作用。基于此,采用小基线集(small baseline subset,SBAS)InSAR技术对2017年2月—2020年9月Sentinel-1升降轨数据集进行处理分析,获取叙古高速沿线地表形变速率,共探测到包括集美滑坡等在内的18处滑坡体,分析发现滑坡形变主要与人为活动相关。结果同时表明,升降轨数据结合有助于更准确地识别灾害点分布。随着数据的积累与技术的不断发展,InSAR技术可以在地质灾害防治中发挥越来越重要的作用。

双城经济圈背景下成渝两地对四川省内高速路充电站利用率影响研究

近年来,为了助推新能源汽车产业的发展,全国各地都在不断完善新能源汽车的充电设施建设。而随着成渝双城经济圈的不断发展,来往两地的新能源汽车也大大增加。在此背景下,本文利用蜀道畅充和高德地图APP,对省内171个高速公路充电站的利用率进行了研究。通过计算发现虽然目前省内高速路充电站利用率还不高,但成渝两市对充电站利用率存在影响。其影响因素包括到成都市的距离,是否为连接两地的高速线路,以及通往成都、重庆高速路的方向等。上述结论为两地今后更加合理规划、建设高速路充电站提供了参考依据。

Decision model and algorithm for traffic rescue resource dispatching on expressway

In order to solve the problems of potential incident rescue on expressway networks, the opportunity cost-based method is used to establish a resource dispatch decision model. The model aims to dispatch the rescue resources from the regional road networks and to obtain the location of the rescue depots and the numbers of service vehicles assigned for the potential incidents. Due to the computational complexity of the decision model, a scene decomposition algorithm is proposed. The algorithm decomposes the dispatch problem from various kinds of resources to a single resource, and determines the original scene of rescue resources based on the rescue requirements and the resource matrix. Finally, a convenient optimal dispatch scheme is obtained by decomposing each original scene and simplifying the objective function. To illustrate the application of the decision model and the algorithm, a case of the expressway network is studied on areas around Nanjing city in China and the results show that the model used and the algorithm proposed are appropriate.

Analysis of Heavy Metal Content in Food Crops Planted Along the Shaanxi Inner Mongolia Expressway

To understand the effect of the running of Shaanxi Inner Mongolia Expressway on food crops planted along the sides, we determined the heavy metal contents(Zn, Pb, Cu and Cb) in the digestion solutions of the root, stem and leaf from rice and corn. The results showed that highway promoted the accumulation of heavy metal elements in corn and rice. Compared with the CKs(crops produced where no highway extend), contents of heavy metal elements in two crops tested from two sampling sites were both over standard. This indicates that food crops planted within 100 m away from the highway are been polluted by heavy metals, which is directly related with the running of Shaanxi Inner Mongolia Expressway. Based on this, the areas within 100 m away from the highway are not suggested to cultivate food crops.

Expressway traffic flow prediction using chaos cloud particle swarm algorithm and PPPR model

Aiming at the real-time fluctuation and nonlinear characteristics of the expressway short-term traffic flow forecasting the parameter projection pursuit regression PPPR model is applied to forecast the expressway traffic flow where the orthogonal Hermite polynomial is used to fit the ridge functions and the least square method is employed to determine the polynomial weight coefficient c.In order to efficiently optimize the projection direction a and the number M of ridge functions of the PPPR model the chaos cloud particle swarm optimization CCPSO algorithm is applied to optimize the parameters. The CCPSO-PPPR hybrid optimization model for expressway short-term traffic flow forecasting is established in which the CCPSO algorithm is used to optimize the optimal projection direction a in the inner layer while the number M of ridge functions is optimized in the outer layer.Traffic volume weather factors and travel date of the previous several time intervals of the road section are taken as the input influencing factors. Example forecasting and model comparison results indicate that the proposed model can obtain a better forecasting effect and its absolute error is controlled within [-6,6] which can meet the application requirements of expressway traffic flow forecasting.

Study of macroscopic fundamental diagram on Shanghai urban expressway network in China

The macroscopic fundamental diagram（ MFD） is studied to obtain the aggregate behavior of traffic in cities. This paper investigates the existence and the characteristics of different types of daily MFD for the Shanghai urban expressway network. The existence of MFD in the Shanghai urban expressway network is proved based on two weeks＇ data.Moreover, the hysteresis phenomena is present in most days and the network exhibits different hysteresis loops under different traffic situations. The relationship between the hysteresis phenomena and the inhomogeneity of traffic distribution is verified. The MFDs in the years of 2009 and 2012 are compared. The hysteresis loop still exists in 2012, which further verifies the existence of the hysteresis phenomenon. The direct relationship between the length of the hysteresis loop（ ΔO） and the congestion is proved based on sufficient data. The width of the hysteresis loop, i. e., the drop in network flow（ ΔQ） has no relationship with the congestion, and it varies from day to day under different traffic situations.

Construction of Cultural Landscapes along the Ya'an-Luguhu Expressway——Discussion about Techniques of Designing Highway Cultural Landscapes

The concept of cultural landscapes was introduced,and it was proposed that the construction of highway cultural landscapes should follow the principles of "protection first,secure,integrated,suitable for actual conditions,economic,natural and ecological".In this study,relevant theories were taken to analyze the design of cultural landscapes along the Ya'an-Luguhu Expressway in Sichuan Province.Natural conditions,profound cultures and historical resources in the study area were analyzed,and the construction of its cultural landscapes was further discussed from the perspectives of properly dividing landscape spaces,determining the orientation of cultural landscapes,refining regional cultures,choosing carriers of cultural landscapes,improving cultural value of important landscape nodes by using artistic settings,applying more local materials and so on.So that helpful references could be provided for the landscape design of other expressways,and the integration of cultural landscapes and highway landscape system could be realized.

TOD模式下的“高速公路+物业”开发策略研究——以新塘立交TOD为例

随着我国城市发展逐渐进入城乡一体化和逆城市化的新阶段,TOD(公共交通导向开发)建设模式也有了新的发展。基于此背景,该文总结了TOD模式下“高速公路+物业”的具体规划设计策略。这种策略不仅提升了城市土地利用效率,还优化了周边居民的生活质量,对城市发展具有非常积极的推动作用。通过对新塘立交TOD项目的分析,探讨了该策略的具体实施过程,验证了“高速公路+物业”设计策略的有效性,以期为未来的高速公路收费站场的TOD开发提供设计参考。

Slope Protection with Vegetation of Baoji(Shaanxi)-Hanzhong(Shaanxi) Expressway

With expressway development and environment protection consciousness improving, slope protection technology with vegetation has drawn much more attention. From the perspective of ecology, Baoji-Hanzhong Expressway maximized slope protection technology with vegetation and formed attracting landscapes on basis of eco-protection. This research introduced the technology of Baoji-Hanzhong Expressway, and explored a low-cost and effective biological slopeprotection way, suitable for Baoji-Hanzhong Expressway, according to slope protection technologies, at home and abroad, with botany, water and soil conservation engineering, and architecture, which fixed and stabilized slopes, prevented rainfall scouring, and advanced slope protection development in China.

面向分布式数据安全共享的高速公路路网拥堵监测

应用人工智能技术对高速公路路网道路状态进行监测已成为热点,然而,数据孤岛及隐私保护是高速路网智能决策面临的挑战。为实现分布式数据安全共享及智能决策,以拥堵问题为例,提出基于联邦学习的高速路网道路拥堵状态监测策略。利用摄像头实时数据,在密态可计算的同态加密联邦学习智能决策架构下,建立基于道路区间优化的拥堵状态监测模型。结果表明,在确保分布式数据安全共享的前提下,能够有效实现高速路网道路拥堵状态监测。

城市快速路互通交织区车辆的换道持续距离选择

以城市快速路互通交织区换道行为为对象,研究换道过程中换道持续距离的选择行为.以实测车行轨迹数据为基础,利用因果推断理论识别影响换道持续距离选择的主要因素:目标车辆换道前后的速度和换道持续时间、当前车道和目标车道前后车的间距.分别利用支持向量机模型和深度学习模型进行换道持续距离选择行为建模,检验换道持续距离选择行为影响因素分析的有效性.结果表明,经筛选后的影响因素提高了行为选择模型的预测速度以及深度学习模型的预测精度;支持向量模型虽然预测速度更快,但预测精度不如深度学习模型.对典型换道行为进行特征分析,为城市快速路互通交织区管理方案的制定奠定了理论基础,是对换道过程行为特征研究的有效补充,精确刻画了换道行为过程.

基于安全势场理论的高速公路大货车安全换道距离研究

针对高速公路大货车运动惯性大、受周围车辆影响明显的特点,为降低大货车换道过程中发生碰撞的风险,通过车路云协同创新的模式辅助大货车的感知与决策,本文提出了一种基于安全势场理论的大货车与周围车辆间的安全换道距离模型。首先,在分析高速公路上大货车换道的运动边界条件的基础上,分析了避免碰撞需同时满足的4种换道间距条件;其次,基于安全势场理论,分析大货车的势场空间分布,建立了其安全换道距离模型。仿真实验结果表明,随着换道加速度以及车辆间相对速度差的增加,大货车与原车道前、后车以及目标车道前车间安全距离的增长率分别减小了16.36%、23.91%和89.75%,与目标车道后车安全距离的增长率增大了28.19%。因此,高速公路上大货车安全换道时保持加速,加速度宜离开原车道时增加,进入目标车道时减小。

基于峰谷电价的高速公路服务区电化学储能系统建设可行性与方案比较

为响应国家能源政策,降低企业营运成本,在分析高速公路服务区能源消耗特点的基础上,结合国家峰谷电价构成和电化学储能系统的特点,研究了高速公路服务区建设电化学储能系统的可行性与经济性。结果表明,服务区的能耗以电能为主,且用电时段主要为尖峰、高峰时段;电化学储能系统可以满足服务区应急电源的要求,可替代柴油发电系统;但电化学储能系统仅用作应急电源时,系统的经济性不足;既用作应急电源又参与服务区正常用电供应时,系统具有明显的经济性;合理配置电化学储能系统的容量后可以达到服务区降本增效的目的。

高速公路工程中预制混凝土连续梁预应力智能张拉施工技术分析

为提高高速公路施工效率与施工质量,研究预制混凝土连续梁预应力智能张拉施工技术。在所选高速公路桥梁工程上定位预应力筋位置并安装钢绞线,同时计算钢绞线张拉力伸长量,结合计算结果设置钢绞线张拉参数;构建预应力智能张拉系统,在该系统内控制张拉设备,实现多千斤顶同步张拉,从而完成连续梁预应力张拉施工。经实验分析可知:相较于传统人工张拉方式,该智能张拉技术可有效降低张拉过程中的伸长量偏差。

赣南某高速公路半填半挖路基变形和稳定性研究

为研究半填半挖路基变形和稳定性,以赣南某高速公路K318+298横断面为研究对象,采用数值模拟方法,开展了最大水平位移、路基表面沉降和位移、稳定性及强度应力比4方面的研究。结果表明:最大水平位移发生在强夯填方边坡靠近路基处,最大值为10.45mm;路基中部沉降和位移最小,而靠近填方区的路基沉降、位移和最大剪应变最大;边坡的安全系数为1.248,满足规范要求;填方区和挖方区边坡土体强度应力比最小,强夯填方区和挖方边坡交界处是潜在的破坏区域。研究结果为类似工程设计和防护提供参考。

四岔十字形枢纽互通立交方案设计及比选

枢纽互通式立交应满足高速公路之间交通流转换的功能需要,因此,要根据其在路网中的交通功能,结合交通量、地形条件、技术指标、工程规模、服务水平等控制性因素进行多方案设计比选。以广西省桂林外环高速与G72泉南高速枢纽互通设计方案为例,从项目的功能定位、建设必要性、交通量预测等多角度分析方案一(单环式变形苜蓿叶形)与方案二(对角象限双环式变形苜蓿叶形)的优劣,通过综合比选,确定选用方案一,即单环式变形苜蓿叶形枢纽为最终方案。

基于标准化施工的高速公路重难点施工技术研究

高速公路施工周期一般都较长,尤其是在涉及到有非常规结构时,为满足施工精度要求,其造价和施工周期都会相应增加。为了更好地满足施工现场对于建设周期和工程造价的需求,决定采用标准化设计、精细化施工的理念,对施工现场进行统一管理。本文以广东省某高速公路施工为例,其重难点问题包括特殊路基以及桥梁的高墩,采用标准化设计后,进行模板统一。结果证实,进行标准化施工后,其施工质量保证率、施工工期以及造价都得到相应的节约。