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Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop-Level Case Study 考虑多重共线性和不同采样策略的旅行需求空间建模:停止水平案例研究
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-31 DOI: 10.1155/2024/7967141
Samuel de França Marques, Cira Souza Pitombo, J. Jaime Gómez-Hernández

Stop-level ridership data serve as a basis for various studies toward increasing bus patronage and promoting sustainable land use planning. To address limitations found in previous studies, this study proposes a novel approach based on Geographically Weighted Principal Component Analysis (GWPCA) and Ordinary Kriging to predict the stop-level boarding or alighting data along bus lines in São Paulo (Brazil), considering four different sampling methods. The main contributions are as follows: by accounting for the spatial heterogeneity of the predictor dataset, the GWPCA can identify the most important factor affecting transit ridership even in bus stops with no information on boarding and alighting; the spatial modeling of stop-level ridership data using GWPCA components as explanatory variables allows visualizing the spatially varying effects from predictors on ridership, supporting the land use planning at a local level; GWPCA coupled with kriging simultaneously addresses the multicollinearity of predictor data, its spatial heterogeneity, and the spatial dependence of the stop-level ridership variable, thus enhancing the goodness-of-fit measures of the transit ridership prediction in unsampled stops; and a balanced sample on predictor data and well-spread in the geographic space might be preferred to accurately estimate missing stop-level ridership data. In addition to solve the lack of stop-level ridership data, supporting a reliable bus system planning, the proposed method indicates what predictors should be addressed by policymakers to stimulate a transit-oriented development. The method can be successfully applied to other travel demand variables facing a lack of data such as traffic volume in road segments and mode choice at the household level.

站级乘客数据是各种研究的基础,这些研究旨在提高公交乘客量并促进可持续土地利用规划。针对以往研究中发现的局限性,本研究提出了一种基于地理加权主成分分析(GWPCA)和普通克里金法的新方法,以预测圣保罗(巴西)公交线路沿线的站台乘客上下车数据,并考虑了四种不同的采样方法。主要贡献如下通过考虑预测数据集的空间异质性,GWPCA 可以识别影响公交乘客量的最重要因素,即使在没有上下车信息的公交站点也是如此;使用 GWPCA 成分作为解释变量对站点级乘客量数据进行空间建模,可以直观地显示预测因素对乘客量的空间变化影响,从而为地方层面的土地利用规划提供支持;GWPCA 与克里金法相结合,可同时解决预测数据的多重共线性、空间异质性和站点级乘客量变量的空间依赖性问题,从而提高未采样站点的公交乘客量预测的拟合优度;同时,为准确估计缺失的站点级乘客量数据,可优先选择预测数据均衡且在地理空间上分布均匀的样本。除了解决缺少站点级乘客数据的问题,为可靠的公交系统规划提供支持外,所提出的方法还指出了政策制定者应关注哪些预测因素,以刺激公交导向型发展。该方法还可成功应用于其他缺乏数据的出行需求变量,如路段交通量和家庭层面的模式选择。
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引用次数: 0
Predicting Flight Trajectory in Convective Weather through Boosted Spatiotemporal Deep Learning Ensemble 通过提升时空深度学习集合预测对流天气中的飞行轨迹
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-29 DOI: 10.1155/2024/6400839
Xi Zhu, Ke Zhang, Zhuxi Zhang, Lifei Tan

Flight trajectory prediction is one of the key issues in ensuring the safety of air traffic, providing the air traffic controller with the foresight of flight conflicts so that control instructions for pilots can be preconceived. In a complicated mechanism, flight trajectories can be severely affected by convective weather, making accurately predicting trajectories challenging. To address this problem, we propose a boosted spatiotemporal deep learning ensemble for mining the law of how convective weather affects flight trajectory stretching. Instead of conventionally representing trajectory data in a geographic coordinate system, we design a relative coordinate system for gaining new trajectory features which tangibly reflect trajectory’s relations with planned route and convective weather. Besides, we raise a boosted ensemble framework of spatiotemporal deep learning models, trained by the samples pairing sequential trajectory with graphical weather, dedicating to strengthen the mining of the high-value training samples that involve explicit flight deviations caused by convective weather. The experiments using actual flight and weather data demonstrate our method’s superiority in predicting flight trajectory affected by convective weather.

飞行轨迹预测是确保空中交通安全的关键问题之一,它为空中交通管制员提供了飞行冲突的预见性,从而可以预先为飞行员提供控制指令。在复杂的机制中,飞行轨迹会受到对流天气的严重影响,因此准确预测轨迹具有挑战性。为解决这一问题,我们提出了一种提升时空深度学习集合,用于挖掘对流天气如何影响飞行轨迹拉伸的规律。我们没有采用传统的地理坐标系来表示轨迹数据,而是设计了一个相对坐标系来获得新的轨迹特征,从而切实反映轨迹与计划航线和对流天气的关系。此外,我们还提出了一个时空深度学习模型的提升集合框架,该框架通过将连续轨迹与图形天气配对的样本进行训练,致力于加强挖掘由对流天气引起的明确飞行偏差的高价值训练样本。利用实际飞行和天气数据进行的实验证明了我们的方法在预测受对流天气影响的飞行轨迹方面的优越性。
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引用次数: 0
Optimization of Traffic Flow by Allowing Private Cars to Merge into the Bus Lane at Specific Locations 在特定地点允许私家车并入公交车道,优化交通流量
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-26 DOI: 10.1155/2024/9076413
Zhentao Yin, Kai Yuan, Shenshen Zheng

A dedicated bus lane is designed to give priority to buses over private cars on the road. However, this approach might waste road traffic capacity when bus demand is low and private car demand is high. Thus, it is essential to utilize bus lanes more effectively. Previous work focuses on allowing private cars to use bus lanes which may cause bus delays. To strike a balance, some approaches involve mandating private cars to leave bus lanes and limiting the number of private cars entering bus lanes. However, these highly rely on transportation infrastructure and emerging technologies. Hence, we propose a simple method of a partially space-shared bus lane, which allows private cars to merge into the bus lane at specific locations. Lane-changing decision is modeled as a result of speed difference between adjacent lanes. Traffic flow is simulated by the LWR model in the Lagrangian coordinate system. Two scenarios are set up—dedicated bus lane and partially space-shared bus lane—to evaluate the partially space-shared system. The only optimization variable is the location that allows private cars to conduct lane-changing. We use the genetic algorithms to optimize the system. Finally, simulation results show that the partially space-shared bus lane reduces private-car delays and total delays of the system. The buses would experience an increase of delays, inevitably. But the bus delay increase could be limited in a small range, which maintains the bus priority. In addition, a multiple lane-changing position strategy is better than the single position one. This approach is suitable for traffic situations with low bus demand and high private car demand. Our work is expected to contribute to the design of future urban bus lanes and improve overall traffic operations.

公交专用道的设计目的是让公交车优先于道路上的私家车。然而,当公交车需求低而私家车需求高时,这种方法可能会浪费道路交通容量。因此,必须更有效地利用公交专用道。以往的工作侧重于允许私家车使用公交专用道,这可能会导致公交车延误。为了取得平衡,一些方法涉及强制私家车驶离公交专用道,并限制进入公交专用道的私家车数量。然而,这些方法高度依赖交通基础设施和新兴技术。因此,我们提出了一种简单的方法,即部分空间共享公交车道,允许私家车在特定位置并入公交车道。变道决策的模型是相邻车道之间的速度差。交通流由拉格朗日坐标系中的 LWR 模型模拟。设定了两种方案--专用公交车道和部分空间共享公交车道,以评估部分空间共享系统。唯一的优化变量是允许私家车进行变道的位置。我们使用遗传算法对系统进行优化。最后,模拟结果表明,部分空间共享的公交车道减少了私家车的延误和系统的总延误。公交车不可避免地会增加延误。但公交车延误的增加可以限制在很小的范围内,从而保持公交车的优先权。此外,多车道变换位置策略优于单车道变换位置策略。这种方法适用于公交需求低而私家车需求高的交通状况。我们的工作有望为未来城市公交车道的设计做出贡献,并改善整体交通运行状况。
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引用次数: 0
Factors Affecting Consumer’s Intention to Use Electric Vehicles: Mediating Role of Awareness and Knowledge 影响消费者使用电动汽车意向的因素:意识和知识的中介作用
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-23 DOI: 10.1155/2024/5922430
Shantanu Gupta, Rohit Bansal, Neha Bankoti, Sanjay Kumar Kar, Saroj Kumar Mishra, Palvinder Kaur, Sidharth Harichandan

This paper explores the role of environmental consequences, perceived barriers, policy interventions, public opinions, and knowledge and awareness in using electric vehicles (EVs). We collected 506 responses about their intention to use the EVs to develop our hypothesis. This study uses knowledge and awareness of the EVs as mediating variables towards adopting the EVs and consumers’ residences as moderating variables. It also introduces several control variables in this proposed research model to measure the effect on the intention to use the EVs. In this research study, we test the importance-performance map analysis and check Cohen’s f2 to identify a better output. The measurement and structural equation modelling results show that the environmental consequences are a stronger predictor of intention and policy interventions. The findings suggest that government policies can also have an attractive position in the EV segment. In addition, knowledge and awareness mediate the adoption of the EVs. Perceived barriers do not influence consumers to use an EV in India. We test the moderating role of residence with our construct and find a partial moderation role with policy intervention and public opinion. We introduce three self-created constructs, i.e., intention to use, knowledge, and public opinion. Public opinion for the EVs supports consumers’ intention to use, and knowledge also plays a significant role in using EVs. These newly added constructs will be essential to manufacturers and policymakers while promoting EVs. Also, environmental consequences and policy interventions emerge as significant factors of user behaviour. The paper highlights the critical predictors of consumers’ intention to use the EVs. Thus, it helps society, policymakers, and managers formulate and implement schemes to boost EV purchasing.

本文探讨了环境后果、感知障碍、政策干预、公众意见以及知识和意识在使用电动汽车(EV)中的作用。我们收集了 506 份关于电动汽车使用意向的回复,从而提出了我们的假设。本研究将电动汽车的知识和意识作为采用电动汽车的中介变量,将消费者的居住地作为调节变量。本研究还在研究模型中引入了几个控制变量,以测量对电动汽车使用意向的影响。在本研究中,我们测试了重要性-绩效图分析,并检验了 Cohen's f2,以确定更好的输出。测量和结构方程建模结果表明,环境后果对意向和政策干预的预测作用更强。研究结果表明,政府政策也可以在电动汽车细分市场中占据有吸引力的地位。此外,知识和意识对电动汽车的采用也有中介作用。在印度,感知障碍不会影响消费者使用电动汽车。我们检验了居住地的调节作用,发现政策干预和公众舆论对电动汽车的采用具有部分调节作用。我们引入了三个自创建构,即使用意向、知识和公众意见。电动汽车的公众舆论支持消费者的使用意向,而知识也在电动汽车的使用中发挥着重要作用。这些新增加的结构对制造商和政策制定者推广电动汽车至关重要。此外,环境后果和政策干预也是影响用户行为的重要因素。本文强调了消费者使用电动汽车意向的关键预测因素。因此,它有助于社会、政策制定者和管理者制定和实施促进电动汽车购买的计划。
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引用次数: 0
Generalization of Beckmann’s Transformation for Traffic Assignment Models with Asymmetric Cost Functions 贝克曼变换在非对称成本函数交通分配模型中的推广应用
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-23 DOI: 10.1155/2024/2921485
Matthieu Marechal, Louis de Grange

An optimization model is developed to solve the deterministic traffic assignment problem under congested transport networks with cost functions that have an asymmetric Jacobian. The proposed formulation is a generalization of Beckmann’s transformation that can incorporate network links with multivariate vector cost functions to capture the asymmetric interactions between the flows and costs of the different links. The objective function is built around a line integral that generalizes the simple definite integral in Beckmann’s transformation and is parameterised to ensure the solution of the new problem satisfies Wardrop’s first principle of network equilibrium. It is shown that this method is equivalent to the variational inequality approach. Our new approach could be extended to supply-demand equilibria models in other markets than transportation, with complementary or substitute goods/services in which there are asymmetric interactions between prices.

本文建立了一个优化模型,用于解决具有非对称雅各布成本函数的拥挤交通网络下的确定性交通分配问题。所提出的公式是对贝克曼变换的概括,可以将具有多元矢量成本函数的网络链接纳入其中,以捕捉不同链接的流量和成本之间的非对称交互作用。目标函数是围绕线积分建立的,它概括了贝克曼变换中的简单定积分,并进行了参数化处理,以确保新问题的解满足沃德洛普的网络平衡第一原理。结果表明,这种方法等同于变式不等式方法。我们的新方法可以扩展到运输以外的其他市场的供需平衡模型,包括价格之间存在非对称相互作用的互补或替代商品/服务。
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引用次数: 0
PID-Based Freeway Work Zone Merge Control with Traffic State Prediction under Mixed Traffic Flow of Connected Automated Vehicles and Manual Vehicles 基于 PID 的高速公路工作区并线控制与互联自动驾驶车辆和手动车辆混合交通流下的交通状态预测
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-08 DOI: 10.1155/2024/5554608
Sunho Kim, Yongju Kim, Youngho Kim, Chungwon Lee

During road work, lane closures significantly reduce road capacity and negatively impact traffic safety in the upstream segments. This study introduces a merge control strategy for the work zone on freeway that aims to alleviate severe congestion and improve flow efficiency in environments where manual vehicles (MVs) and connected automated vehicles (CAVs) coexist. Using a short-term prediction model combined with a proportional-integral-derivative (PID) controller, this strategy dynamically adjusts merging behavior based on real-time traffic conditions. The PID controller calculates error values as the difference between current and target states, adjusting responses through proportional, integral, and derivative terms. The predictions of the traffic state based on the density of open lanes in each segment guide the controller’s decision to initiate a “Merge” or “No Merge” guidance. When merging is deemed necessary, the controller estimates the optimal number of vehicles to merge for each segment, using the severe congestion threshold as a reference point. This approach was tested using a microscopic simulation tool on a calibrated real-world network under mixed traffic conditions. The results indicate that the proposed strategy effectively disperses merging upstream, increases merging speeds, and maintains lane density below critical congestion levels, thus enhancing operation efficiency and safety in work zone areas.

在道路施工期间,车道关闭会大大降低道路通行能力,并对上游路段的交通安全产生负面影响。本研究介绍了一种高速公路施工区并线控制策略,旨在缓解严重拥堵,提高手动车辆(MV)和联网自动车辆(CAV)共存环境下的通行效率。该策略采用短期预测模型与比例积分派生(PID)控制器相结合的方式,根据实时交通状况动态调整并线行为。PID 控制器将误差值计算为当前状态与目标状态之间的差值,并通过比例、积分和导数项调整响应。根据各路段开放车道的密度预测交通状态,从而指导控制器决定启动 "并线 "或 "不并线 "引导。当认为有必要并线时,控制器会以严重拥堵阈值为参考点,估算每个路段的最佳并线车辆数。在混合交通条件下,使用微观模拟工具在校准过的真实世界网络上对这种方法进行了测试。结果表明,所提出的策略能有效分散上游并线车辆,提高并线速度,并将车道密度保持在临界拥堵水平以下,从而提高工作区的运行效率和安全性。
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引用次数: 0
Restoration Model for Cascading Overload Failure in Syncretic Railway Network 同步铁路网中级联过载故障的恢复模型
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-05 DOI: 10.1155/2024/8244319
Qingwei Zhong, Su Liu, Jingwei Guo, Linfeng Zhong, Zhihong Yao

The different rail transit systems, such as regional railway and urban rail transit, cooperate to form the syncretic railway network (SRN). With the rapid development of SRN, the limited transportation capacity is inadequate to meet the booming passenger flow during peak hours, where cascading failures caused by large passenger flow become a threat to SRN. This paper adopts a state equation to depict the failure-restoration process and investigates detailed restoration strategies considering the characteristics of recoverable and repeatable failures of stations. Specifically, three different restoration strategies—spontaneous restoration strategy (SRS), active restoration strategy (ARS), and hybrid restoration strategy (HRS)—are proposed, and the varying effects of restoration time, restoration probability, restoration objective, and restoration priority for SRN with ARS are compared. These restoration strategies are applied to the actual SRN in Chengdu, where it is found that HRS has a better effect than other strategies. Furthermore, stations in the metro network with higher passenger flow allocate more restoration resources to improve the robustness of SRN, while the restoration effect of SRN increases noticeably with the restoration coefficient and the reserve coefficient. The restoration strategies presented in this paper can improve the safety management of SRN.

区域铁路和城市轨道交通等不同的轨道交通系统相互配合,形成了同步铁路网(SRN)。随着 SRN 的快速发展,有限的运输能力已无法满足高峰时段激增的客流,大客流引发的级联故障已成为 SRN 的威胁。本文采用状态方程来描述故障-修复过程,并结合车站故障的可恢复性和可重复性特点,研究了详细的修复策略。具体而言,本文提出了三种不同的修复策略--自发修复策略(SRS)、主动修复策略(ARS)和混合修复策略(HRS),并比较了修复时间、修复概率、修复目标和修复优先级对采用 ARS 的 SRN 的不同影响。将这些修复策略应用于成都的实际 SRN,发现 HRS 比其他策略效果更好。此外,地铁网络中客流量较大的车站会分配更多的修复资源以提高 SRN 的鲁棒性,而 SRN 的修复效果会随着修复系数和储备系数的增加而明显提高。本文提出的修复策略可以提高 SRN 的安全管理水平。
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引用次数: 0
Comprehensive Design Analysis of Economical E-Bike Charger with IoT-Empowered System for Real-Time Parameter Monitoring 经济型电动自行车充电器与用于实时参数监测的物联网供电系统的综合设计分析
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-07-03 DOI: 10.1155/2024/2387983
Tehseen Ilahi, Tahir Izhar, Majid Ali, Usama Noor, Mudassar Siddique, Ehtisham Muhammad Khan, Roomana Yousaf, Ahmed Ali, Baseem Khan

The demand for electrically powered transportation is increasing exponentially due to high fuel prices and global environmental issues. The use of electric bikes is increasing rapidly within urban mobility. The current E-bike chargers are expensive and fail to provide proper authentication, real-time monitoring, parameter analysis, health maintenance alerts, etc. To meet future demand, the paper presents detailed design procedures and experimental analysis of smart, user-friendly, economical, and green charging solutions for electric bikes. The research provides an IoT-based cheap charging facility for different workplaces, organizations, and highway rest areas. Real-time pricing and parameters are sensed using an IoT module and observed online with a monitoring interface via the ThingSpeak platform. The parameters are visualized using both simulation and hardware analysis. The detailed power converter and high-frequency transformer design procedure with mathematical equations are presented in the article. The proposed design improves reliability, security, timely maintenance, and system health conditions. The research provides economical off-board charging stations with smart interfaces that can be accessed by users or service providers through the data cloud. The low-cost smart charging stations promote the use of electric vehicles and decrease the charging anxiety of users. The proposed scheme reduces emissions problems, improves the air quality index, and facilitates people with affordable and reliable transportation.

由于燃料价格高昂和全球环境问题,人们对电动交通工具的需求正急剧增加。在城市交通中,电动自行车的使用正在迅速增加。目前的电动自行车充电器价格昂贵,而且无法提供适当的身份验证、实时监控、参数分析、健康维护警报等功能。为了满足未来的需求,本文介绍了智能、人性化、经济和绿色的电动自行车充电解决方案的详细设计程序和实验分析。该研究为不同的工作场所、机构和高速公路休息区提供了基于物联网的廉价充电设施。使用物联网模块感知实时价格和参数,并通过 ThingSpeak 平台的监控界面进行在线观测。通过仿真和硬件分析,可对参数进行可视化。文章介绍了详细的功率转换器和高频变压器设计程序及数学公式。所提出的设计提高了可靠性、安全性、及时维护和系统健康状况。该研究提供了具有智能接口的经济型车外充电站,用户或服务提供商可通过数据云访问这些充电站。低成本的智能充电站促进了电动汽车的使用,降低了用户的充电焦虑。所提出的方案减少了排放问题,提高了空气质量指数,为人们提供了经济可靠的交通工具。
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引用次数: 0
Crowding Perception Thresholds of Passengers in Urban Rail Transit: A Study of Differences in Spatiotemporal Dimensions 城市轨道交通乘客的拥挤感阈值:时空维度差异研究
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-06-22 DOI: 10.1155/2024/6409942
Xia Lu, Baohua Mao, Min Wang, Yixin Zhao, Peining Tian

This paper focuses on the differences in crowding perception among different types of passengers in trains, aiming to optimize passenger experience and improve the level of service of urban rail transit. Based on data from a passenger survey on the Beijing subway, this paper introduces the concept of Crowding Perception Threshold (CPT) and analyzes the principle of passenger spatiotemporal crowding. Considering factors such as gender, age, travel purpose, and standing density of passengers, the paper constructs a quantitative model of crowding perception using the ordered logit model and proposes a method for classifying the level of service accordingly. The study results indicate that the CPTs for all types of passengers range from 91.8% to 101.6%, with the females, elderly individuals, and noncommuters showing greater sensitivity to crowding. In the temporal dimension, all types of passengers have higher CPTs during peak hours than during off-peak hours, influenced by passengers’ crowding expectations. In the spatial dimension, the level of service for most types of passengers is considered crowded at standing densities of 6-7 pax/m2 during peak hours, while the level of service for all types of passengers is deemed to be very crowded at 8 pax/m2, at which point additional passengers are not recommended.

本文主要研究不同类型乘客在列车上的拥挤感差异,旨在优化乘客体验,提高城市轨道交通的服务水平。本文基于北京地铁乘客调查数据,引入拥挤感阈值(CPT)概念,分析乘客时空拥挤原理。考虑到乘客的性别、年龄、出行目的、站立密度等因素,本文利用有序对数模型构建了拥挤感的定量模型,并提出了相应的服务等级划分方法。研究结果表明,各类乘客的 CPT 值在 91.8% 至 101.6% 之间,其中女性、老年人和非通勤乘客对拥挤的敏感度更高。在时间维度上,受乘客拥挤预期的影响,所有类型乘客在高峰时段的 CPT 值均高于非高峰时段。在空间维度上,大多数类型乘客的服务水平在高峰时段站立密度为 6-7 人/平方米时被视为拥挤,而所有类型乘客的服务水平在 8 人/平方米时被视为非常拥挤,此时不建议增加乘客。
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引用次数: 0
A Comprehensive Traffic Accident Investigation System for Identifying Causes of the Accident Involving Events with Autonomous Vehicle 用于识别自动驾驶汽车事故原因的综合交通事故调查系统
IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2024-06-21 DOI: 10.1155/2024/9966310
Heesoo Kim, Hyorim Han, Yongsik You, Min-Je Cho, Junho Hong, Tai-Jin Song

As the number of autonomous vehicles increases, the number of accidents also increases every year. These incidents include general car/traffic accidents and may introduce new potential issues such as cybersecurity and sensor errors of autonomous vehicles. The existing traffic accident investigation method has limitations in identifying the cause of the autonomous vehicle accident. Some states in the US (e.g., California and Texas) introduced limited items of Lv. 2 autonomous vehicle accidents. For instance, “vehicle level” and “autonomous mode/conventional mode” are being investigated to identify the cause of autonomous vehicle accidents. Therefore, it is crucial to propose accident investigation items and procedures in preparation for various autonomous vehicles that may occur in the future. In order to address these issues, this study collected reports used in existing traffic accident investigations, autonomous driving-related reports and literature, and accident videos involving autonomous driving to build investigation items. First, we reviewed the items required for investigation in the event of a conventional vehicle accident and added additional investigation items deemed necessary to be reviewed in addition to the existing reports. Second, based on the conventional vehicle accident investigation items, this study derived the autonomous driving traffic accident investigation items. Finally, an accident involving autonomous vehicle(s) investigation process was established that can be used by the police and various investigation jurisdictions. The results of this paper can improve the understanding of the cause of future traffic accidents involving autonomous vehicles.

随着自动驾驶汽车数量的增加,事故数量也在逐年增加。这些事故包括一般的汽车/交通事故,也可能带来新的潜在问题,如自动驾驶汽车的网络安全和传感器错误。现有的交通事故调查方法在确定自动驾驶汽车事故原因方面存在局限性。美国一些州(如加利福尼亚州和德克萨斯州)引入了 Lv.2 自动驾驶汽车事故的限定项目。例如,通过调查 "车辆级别 "和 "自主模式/常规模式 "来确定自主车辆事故的原因。因此,提出事故调查项目和程序,为今后可能发生的各种自动驾驶车辆做好准备至关重要。为了解决这些问题,本研究收集了现有交通事故调查中使用的报告、自动驾驶相关报告和文献以及涉及自动驾驶的事故视频,以构建调查项目。首先,我们回顾了发生传统车辆事故时所需的调查项目,并在现有报告的基础上增加了认为有必要回顾的其他调查项目。其次,在传统车辆事故调查项目的基础上,本研究得出了自动驾驶交通事故调查项目。最后,建立了涉及自动驾驶车辆的事故调查流程,可供警方和各调查辖区使用。本文的研究成果可以提高人们对未来涉及自动驾驶汽车的交通事故原因的认识。
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引用次数: 0
期刊
Journal of Advanced Transportation
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