Journal of Intelligent Transportation Systems最新文献_第7页

Eco-friendly platooning operation algorithm of the electric vehicles 电动汽车的环保队列运行算法

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-11-01 Epub Date: 2023-05-02 DOI: 10.1080/15472450.2023.2209911

Joonwon Jang , Sung Il Kwag , Young Dae Ko

{"title":"Eco-friendly platooning operation algorithm of the electric vehicles","authors":"Joonwon Jang , Sung Il Kwag , Young Dae Ko","doi":"10.1080/15472450.2023.2209911","DOIUrl":"10.1080/15472450.2023.2209911","url":null,"abstract":"<div><div>Platooning is one of the promising technologies that maximizes the power efficiency of electric vehicles by decreasing the distances between the vehicles. Along with the development of autonomous driving technology, platooning is expected to be commercialized. Recent studies on the operation of platooning focused on power-efficient maintenance of platooning. However, power-efficient operation strategy is also needed for practical applications. Therefore, this study deals with platooning operations that can maximize the power efficiency of electric vehicles in various operational situations. In order to derive the operation method, a mathematical model structured with an objective function that minimizes power consumption is developed. To derive the solution of the mathematical model, a hybrid genetic algorithm is applied. The numerical experiments on four different operational situations are performed to verify the validity of the model and the solution procedure. The four situations consider overall situation that can happen during the platooning stage. The stages are formation, disassembly, join and breakaway of vehicles of platoon. Those four situations are decided upon since they can represent the general situation that can happen during platooning. As a result, the power-efficient driving patterns of electric vehicles are identified. After the development of electric and systematic technology, operational technology for platooning will collaborate for the further improvement. Therefore, throughout consideration of the formation of platooning, technology will expand the sustainability of technological development.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 6","pages":"Pages 775-792"},"PeriodicalIF":2.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91148916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Handling inevitable collision states by Advanced Driver Assistance Systems functions: software-in-the-loop performance assessment of an injury risk-based logic in a “lane departure” scenario 通过高级驾驶辅助系统功能处理不可避免的碰撞状态：在“车道偏离”场景下，基于伤害风险逻辑的软件在环性能评估

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-11-01 Epub Date: 2023-10-30 DOI: 10.1080/15472450.2023.2277713

Michelangelo-Santo Gulino , Krzysztof Damaziak , Anita Fiorentino , Dario Vangi

{"title":"Handling inevitable collision states by Advanced Driver Assistance Systems functions: software-in-the-loop performance assessment of an injury risk-based logic in a “lane departure” scenario","authors":"Michelangelo-Santo Gulino , Krzysztof Damaziak , Anita Fiorentino , Dario Vangi","doi":"10.1080/15472450.2023.2277713","DOIUrl":"10.1080/15472450.2023.2277713","url":null,"abstract":"<div><div>The downward trend in the number of fatalities and serious injuries related to road accidents depends on the implementation of increasingly performing Advanced Driver Assistance Systems (ADAS) in the circulating fleet. The greatest benefit of the adoption of ADASs like Autonomous Emergency Braking (AEB) consists in limiting the frequency of impacts. However, in Inevitable Collision States (ICSs), the decrease in impact closing speed guaranteed by the AEB may not reduce the Injury Risk (IR) for the occupants: IR is a function of the vehicle’s velocity change in the collision (<span><math><mrow><mo>Δ</mo><mi>V</mi></mrow></math></span>) – a combination of impact closing speed and impact eccentricity. The work virtually analyses, in lane departure ICS scenarios, the performance of an adaptive steering and braking intervention logic based on instantaneous IR minimization. The adaptive logic reduces IR compared to the absence of intervention (down to 80 times lower) and to the AEB (down to 40 times lower) by leading the ego vehicle toward eccentric impact configurations. It is highlighted that full activation of the steer-by-wire system in 0.3 s allows the adaptive logic to also reduce the frequency of impacts; it is further evidenced that employing a function capable of modulating the braking level to minimize IR entails disadvantages from the IR perspective compared to the AEB: efficient intervention strategies on the steering are the only alternative for increasing the safety provided by high-performance ADASs. Finally, compared to previous literature, the study highlights high efficiencies of the adaptive logic in a wide range of ICS scenarios.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 6","pages":"Pages 1011-1031"},"PeriodicalIF":2.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135391417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust real-time traffic light detector on small-form platform for autonomous vehicles 用于自动驾驶汽车的小型平台上的鲁棒实时交通信号灯检测器

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-04-24 DOI: 10.1080/15472450.2023.2205018

引用次数: 0

Estimation of local traffic conditions using Wi-Fi sensor technology 利用 Wi-Fi 传感器技术估算当地交通状况

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-02-06 DOI: 10.1080/15472450.2023.2177103

{"title":"Estimation of local traffic conditions using Wi-Fi sensor technology","authors":"","doi":"10.1080/15472450.2023.2177103","DOIUrl":"10.1080/15472450.2023.2177103","url":null,"abstract":"<div><p>Real-time traffic data is fundamental for active traffic monitoring and control. Traditionally, traffic data are collected using location-based sensors and spatial sensors. However, both sensors have well-known limitations due to installation, operations, maintenance costs, and environmental factors. This study develops a methodology to use Wi-Fi sensors for traffic state characterization on urban roads to overcome these limitations. We examine the received signal strength indicator (RSSI) patterns and identify three distinct RSSI signature patterns. These patterns are used to develop methodologies to estimate (a) Whether the position of the end of the queue is upstream or downstream of the detector, (b) Whether the traffic conditions in the vicinity of the detector are uniformly uncongested or uniformly congested, and (c) The maximum queue length and the time is taken for the queue to grow to the maximum extent. The estimates from the methodology are validated with empirical data that showed good concurrence with field conditions, and the methods proposed in this article have the potential to estimate the traffic conditions using sparse data from Wi-Fi sensors.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 5","pages":"Pages 618-635"},"PeriodicalIF":2.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78334026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling red-light running behavior using high-resolution event-based data: a finite mixture modeling approach 利用基于事件的高分辨率数据建立闯红灯行为模型：有限混合建模方法

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-04-20 DOI: 10.1080/15472450.2023.2205019

{"title":"Modeling red-light running behavior using high-resolution event-based data: a finite mixture modeling approach","authors":"","doi":"10.1080/15472450.2023.2205019","DOIUrl":"10.1080/15472450.2023.2205019","url":null,"abstract":"<div><p>To effectively reduce the number of red-light violations and crashes, it is crucial to explore RLR behavior at local intersections, understand the contributing factors, and identify the riskiest intersections by estimating RLR frequency. In this study, a finite mixture modeling method was utilized to understand the contributing factors to RLR behavior and estimate this violating behavior. To develop the RLR estimation models, performance metrics and signal phasing data were collected from the Automated Traffic Signal Performance Measures (ATSPMs) system in two jurisdictions in Arizona: Pima County and the Town of Marana. The results from calibrated models showed that an increase in traffic flow, intersection delay, number of approach lanes, and split failure is associated with an increase in the likelihood of observing red-light violations. In addition, it was found that an increase in cycle length is associated with a decrease in the likelihood of observing the red-light violation. The results of comparing the proposed RLR estimation method with several conventional methods, the Poisson Generalized Linear Model (PGLM), Zero-inflated Poisson Regression Model (ZIPM), and Zero-inflated Negative Binomial Regression Model (ZINB) showed the proposed method outperforms all the models in terms of both model fit and accuracy. The application of the proposed method could be used to analyze the intersections with the highest number of red-light violations. Furthermore, the presented transferability results can be advantageous to transportation agencies within Arizona and urban areas with similar characteristics by providing insight into which model specifications may provide the best RLR estimation accuracy.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 5","pages":"Pages 679-694"},"PeriodicalIF":2.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76638718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic mode decomposition type algorithms for modeling and predicting queue lengths at signalized intersections with short lookback 用于模拟和预测信号灯控制交叉路口排队长度的动态模式分解型算法（回溯时间短

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-04-23 DOI: 10.1080/15472450.2023.2205022

{"title":"Dynamic mode decomposition type algorithms for modeling and predicting queue lengths at signalized intersections with short lookback","authors":"","doi":"10.1080/15472450.2023.2205022","DOIUrl":"10.1080/15472450.2023.2205022","url":null,"abstract":"<div><p>This article explores a novel data-driven approach based on recent developments in Koopman operator theory and dynamic mode decomposition (DMD) for modeling signalized intersections. On signalized intersections, vehicular flow and queue formation have complex nonlinear dynamics, making system identification, modeling, and controller design challenging. We employ a DMD-type approach to transform the original nonlinear dynamics into locally linear infinite-dimensional dynamics. The data-driven approach relies entirely on spatio-temporal snapshots of the traffic data. We investigate several key aspects of the approach and provide insights into the usage of DMD-type algorithms for application in adaptive signalized intersections. To validate the obtained linearized dynamics, we perform prediction of the queue lengths at the intersection and compare the results with the benchmark methods such as ARIMA and long short term memory (LSTM). The case study involves intersection pressure and queue lengths at two Orlando area signalized intersections during the morning and evening peaks. It is observed that DMD-type algorithms are able to capture complex dynamics with a linear approximation to a reasonable extent. The merits include faster computation times and significantly less requirement for a “lookback” (training) window.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 5","pages":"Pages 741-755"},"PeriodicalIF":2.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80485743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic origin–destination flow estimation for urban road network solely using probe vehicle trajectory data 仅利用探测车辆轨迹数据对城市路网的起点-终点流量进行动态估算

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-05-02 DOI: 10.1080/15472450.2023.2209910

{"title":"Dynamic origin–destination flow estimation for urban road network solely using probe vehicle trajectory data","authors":"","doi":"10.1080/15472450.2023.2209910","DOIUrl":"10.1080/15472450.2023.2209910","url":null,"abstract":"<div><p>Dynamic origin–destination (OD) flow is a fundamental input for dynamic network models and simulators. Numerous studies have conducted dynamic OD estimations based on fixed detectors, where a high device coverage rate and data quality are often required to accomplish the desired results. Several existing methods have used probe vehicle trajectories as an additional data source, and generalized least squares (GLS) is commonly recognized as an effective framework. However, the prior matrices used in these models either came from historical data or data obtained by uniform scaling that neglected the variation in penetration rates and suffer from sparsity issues. Moreover, the microscopic information contained in the high-resolution probe vehicle trajectories has not been fully utilized. The possibility of estimating OD flows using only vehicle trajectories without external information is rarely discussed in current literature. Therefore, this paper introduces a dynamic OD flow estimation model solely using probe vehicle trajectories. In the proposed model, two methods based on probe OD pair distribution are proposed to infer prior OD flows. Then the GLS framework is extended by including link travel times as another objective term, and the solution algorithm is adapted to deal with uncertain priors. To validate the proposed model, extensive experiments were conducted on a simulation network. The results show that the proposed model could reliably estimate dynamic OD flows and showed superiority to two existing models. In sensitivity analysis concerning the penetration rate and degree of saturation, the proposed model presented satisfactory performance and could adapt to various conditions.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 5","pages":"Pages 756-773"},"PeriodicalIF":2.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81488976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The demand potential of shared autonomous vehicles: a large-scale simulation using mobility survey data 共享自动驾驶汽车的需求潜力：利用流动性调查数据进行大规模模拟

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-04-20 DOI: 10.1080/15472450.2023.2205021

{"title":"The demand potential of shared autonomous vehicles: a large-scale simulation using mobility survey data","authors":"","doi":"10.1080/15472450.2023.2205021","DOIUrl":"10.1080/15472450.2023.2205021","url":null,"abstract":"<div><p>Shared Autonomous Vehicles (SAV), or robotaxis, are expected to be commercially available within this decade. This new transport mode has the potential to revolutionize travel, offering a level of service comparable to traditional taxis with much lower prices. This may attract travelers currently using other modes, impacting the economic sustainability of public transport as well as car ownership levels. We investigate this potential demand using a scalable SAV simulation framework. We do not establish a future equilibrium considering the interaction between all users on a detailed road network, but establish the potential demand for a large metropolitan area. Travelers can choose between their current mode and the new SAV mode, with fare and waiting times which depend on real-time demand. For our input data we train a statistical model on a large transport survey from Germany for an urban region, allowing us to generate a large number of trips with realistic characteristics. We conduct a sensitivity analysis to study the effect of several key parameters on the modal shift. We find that SAVs can be attractive to many active mode and public transport users unless regulations are put in place. Our results also show that due to SAV fleet constraints, changes in incentives for travelers currently using cars may have significant consequences on the behavior of other travelers. We further calculate key economic indicators for the fleet, which can inform the discussion on the fleet size and fare level that operators are likely to choose when maximizing their own profit.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 5","pages":"Pages 719-740"},"PeriodicalIF":2.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85049181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experience of drivers of all age groups in accepting autonomous vehicle technology 各年龄段驾驶员接受自动驾驶汽车技术的经验

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-03-28 DOI: 10.1080/15472450.2023.2197115

{"title":"Experience of drivers of all age groups in accepting autonomous vehicle technology","authors":"","doi":"10.1080/15472450.2023.2197115","DOIUrl":"10.1080/15472450.2023.2197115","url":null,"abstract":"<div><p>Autonomous vehicles (AVs) may benefit the health and safety of drivers across the driving lifespan, but perceptions of drivers are not known. Lived experiences of drivers exposed to AVs in combination with surveys, can more accurately reveal their perceptions. We quantified facilitators and barriers from data collected in older (N = 104) and younger drivers (N = 106). Perceptions were assessed via Autonomous Vehicle User Perception Survey (AVUPS) subscales (i.e., <em>intention to use</em>, <em>barriers</em>, <em>well-being</em>, and <em>acceptance</em>) pertaining to group exposure (simulator first [SF] or autonomous shuttle first [ASF]). We quantified the effects of group, time, and group × time interaction. Multiple linear regressions identified predictors (e.g., <em>optimism</em>, <em>ease of use</em>, <em>life space</em>, <em>driving exposure</em>, and <em>driving difficulty, age, gender, race)</em> of the AVUPS subscales. The regression analyses indicated that <em>optimism</em> and <em>ease of use</em> positively predicted <em>intention to use</em>, <em>barriers</em>, <em>well-being</em>, and the <em>total acceptance</em> score. <em>Driving difficulty</em> significantly predicted <em>barriers</em>, whereas <em>miles driven</em> negatively predicted <em>well-being.</em> The regression results indicated that predictors of user <em>acceptance</em> of AV technology included <em>age, race, optimism</em>, <em>ease of use,</em> with 33.6% of the variance in <em>acceptance</em> explained. The findings reveal foundational information about driver <em>acceptance</em>, <em>intention to use</em>, <em>barriers</em>, and <em>well-being</em> related to AVs. New knowledge pertains to how <em>demographics</em>, <em>optimism</em>, <em>ease of use</em>, <em>life space</em>, <em>driving exposure</em>, and <em>driving difficulty</em> inform AV acceptance. We provided strategies to inform city planners and other stakeholders on improving upon deployment practices of AVs.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 5","pages":"Pages 651-667"},"PeriodicalIF":2.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135239047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles 道路裂缝规避：基于卷积神经网络的智能车辆智能交通系统

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-09-02 Epub Date: 2023-02-04 DOI: 10.1080/15472450.2023.2175613

{"title":"Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles","authors":"","doi":"10.1080/15472450.2023.2175613","DOIUrl":"10.1080/15472450.2023.2175613","url":null,"abstract":"<div><p>Prediction using computer vision is getting prevalent nowadays because of satisfying results. The vision of Internet of Vehicles (IoV) expedites Vehicle to everything (V2X) communications by implementing heterogeneous global networks. Road crack is one of the major factors that causes road mishaps and damage to vehicles. To ensure smooth and safe driving, avoiding road crack in transportation planning and navigation is significant. To address this issue, we proposed a novel convolutional neural network (CNN)-based smart transportation system. We showed how to quantify the severity of the cracks. We proposed a post-processing algorithm to provide option to the driver to select the safest road toward the destination. The communication system for the proposed smart transportation system has also been introduced. The performance comparison of a few popular CNN architectures has been investigated. Simulation results showed that Resnet50 algorithm provides significantly high accuracy compared with SqueezeNet and InceptionV3 algorithm in order to detect road cracks for the proposed transportation system. We demonstrated high accuracy of measuring the crack severity via numerical analysis. The integration of the proposed system in next generation smart vehicles can ensure accurate detection of road cracks earlier enough providing the option to select alternate safe route toward a destination as advanced driver assistance service. Moreover, the proposed system can also play a key role in order to reduce road mishaps notably by warning the driver about the updated road surface conditions.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 5","pages":"Pages 605-617"},"PeriodicalIF":2.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78613891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0