Journal of Intelligent Transportation Systems最新文献_第6页

Including network level safety measures in eco-routing 在生态路由中纳入网络层面的安全措施

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-05-03 DOI: 10.1080/15472450.2022.2129022

Sepehr G. Dehkordi , Grégoire S. Larue , Michael E. Cholette , Andry Rakotonirainy , Sébastien Glaser

{"title":"Including network level safety measures in eco-routing","authors":"Sepehr G. Dehkordi , Grégoire S. Larue , Michael E. Cholette , Andry Rakotonirainy , Sébastien Glaser","doi":"10.1080/15472450.2022.2129022","DOIUrl":"10.1080/15472450.2022.2129022","url":null,"abstract":"<div><p>Following the most energy-efficient route can have a significant impact on reducing energy consumption. While most eco-routing research has focused on reducing energy consumption and travel time, the safety aspect of route choice is currently neglected. In this paper, a multi-objective optimization methodology is formulated to concurrently minimize fuel consumption, travel time and safety risk, which is quantified using a novel methodology based on network-level safety measures. The proposed optimization framework provides a transparent way to intuitively include driver preferences via “budgets” for time, fuel consumption and safety – which represent the driver’s willingness to sacrifice these factors for fuel consumption improvements. The performance of the proposed method was tested on urban road networks in Brisbane-Australia, with a rear-end collision risk model as the safety measure. The results demonstrate that eco-routing with safety considerations has the potential to improve fuel efficiency while simultaneously reducing safety risks.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 3","pages":"Pages 283-296"},"PeriodicalIF":3.6,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78027022","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

A multi-state merging based analytical model for an operation design domain of autonomous vehicles in work zones on two-lane highways 基于多状态合并的分析模型，适用于双车道高速公路工作区自动驾驶车辆的运行设计域

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-05-03 DOI: 10.1080/15472450.2022.2130697

Qing Tang , Xianbiao Hu

{"title":"A multi-state merging based analytical model for an operation design domain of autonomous vehicles in work zones on two-lane highways","authors":"Qing Tang , Xianbiao Hu","doi":"10.1080/15472450.2022.2130697","DOIUrl":"10.1080/15472450.2022.2130697","url":null,"abstract":"<div><p>As a special application of connected and automated vehicles (CAVs), the Autonomous Truck Mounted Attenuator (ATMA) vehicle system is promoted to reduce fatalities in work zone locations. In this manuscript, we focus on the Operational Design Domain (ODD) problem of two-lane highways, i.e., under what traffic conditions should an ATMA be deployed. Due to the dramatic speed difference between ATMA vehicles and general vehicles, a queue will be formed, leading to a percent-time-spent-following (PTSF) increase during maintenance. General vehicles in the queue will assess a gap on the opposite lane to perform a passing maneuver, which is broken down into multi-stage merging behavior. As such, an analytical model is first made, based on queuing theory in which the arrival rate and service rate are analyzed to estimate the PTSF. In this way, the linkage between annual average daily traffic (AADT) and level of service (LOS) is analytically established. Then, the proposed model is validated by comparing the estimated PTSF with that of the Highway Capacity Manual (HCM) values. The comparison results show that the mean error is 9.58%, and the mean absolute error is 12.36%, which demonstrate that the developed model is able to generate satisfactory results when compared with the HCM model. Numeric analysis also shows that roadway performance is sensitive to the K factor and D factor, as well as the operating speed of an ATMA. If LOS = C is a desirable design objective, a good AADT threshold to use would be around 11,000 vehicles per day.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 3","pages":"Pages 372-385"},"PeriodicalIF":3.6,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78862430","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

A stochastic microscopic based freeway traffic state and spatial-temporal pattern prediction in a connected vehicle environment 互联车辆环境中基于随机微观的高速公路交通状态和时空模式预测

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-05-03 DOI: 10.1080/15472450.2022.2130291

Seiran Heshami , Lina Kattan

{"title":"A stochastic microscopic based freeway traffic state and spatial-temporal pattern prediction in a connected vehicle environment","authors":"Seiran Heshami , Lina Kattan","doi":"10.1080/15472450.2022.2130291","DOIUrl":"10.1080/15472450.2022.2130291","url":null,"abstract":"<div><p>Traffic state prediction forms the basis for effective and efficient traffic control and management strategies. A model-based traffic state prediction approach based on a stochastic microscopic three-phase model is developed to predict traffic flow, speed, and travel time in short prediction horizons consisting of multiple time steps ahead. The proposed model utilizes connected vehicles’ trajectory data including location and speed information and fuses this information with detector measurements using an Adaptive Kalman filter. Stochastic driver behaviors in merging, lane-changing, and over-acceleration are considered in the three-phase microscopic model, which allows for a precise prediction of macroscopic parameters for a relatively long stretch of freeway. Traffic flow and speed predictions are conducted for each lane individually and, for a whole segment. Per-lane predictions provide valuable information regarding different speed fluctuations in each lane for identifying congestion and applying proactive freeway controls. Predicted traffic parameters are used for tracking and predicting the spatial-temporal traffic patterns in real-time. The accuracy of the proposed model is examined and validated for various penetration rates of connected vehicles and prediction horizons and outperforms the baseline prediction methods.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 3","pages":"Pages 313-339"},"PeriodicalIF":3.6,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74454901","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

Comparative analysis of drowsiness and performance in conditionally automated driving and manual driving considering the effect of circadian rhythm 考虑到昼夜节律的影响，对有条件自动驾驶和手动驾驶中的嗜睡和表现进行比较分析

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-05-03 DOI: 10.1080/15472450.2022.2130292

Qi Zhang , Chaozhong Wu , Hui Zhang , Sara Ferreira

{"title":"Comparative analysis of drowsiness and performance in conditionally automated driving and manual driving considering the effect of circadian rhythm","authors":"Qi Zhang , Chaozhong Wu , Hui Zhang , Sara Ferreira","doi":"10.1080/15472450.2022.2130292","DOIUrl":"10.1080/15472450.2022.2130292","url":null,"abstract":"<div><p>Drowsiness in manual driving (MD) is influenced by circadian rhythms. Conditionally automated driving (CAD) affects drivers’ drowsiness. We conducted a simulator study with 30 participants (every ten subjects in morning group, afternoon group, and evening group) to investigate the effect of circadian rhythm on the changes in drivers’ drowsiness and performance in different driving modes. Each subject was required to complete CAD experiment first and MD experiment later, and experienced 8 risk scenarios in each experiment. The self-reported Karolinska Sleepiness Scale (KSS) was recorded by an investigator every time when the subject drove past the scenario as the drowsiness measurement. The speed, acceleration, time-related metrics, and vehicle lane position were collected as the performance measurements. KSS data were statistically analyzed, and the Spearman’s Rho test was used to confirm the correlation among performance measurements, KSS, and scenarios. The result of the KSS statistical analysis showed that the effect of circadian rhythm on fatigue in MD groups is consistent with the previous studies, but the existence of CAD changes the effect of the circadian rhythm. Compared with the MD, CAD slowed down the drowsiness growth rate in the morning group and promoted the drowsiness growth rate in the evening group. The brake input rate, mean longitude acceleration, max Standard Deviation of Lane Position (SDLP), and the time to pass (TTP) were significantly related to the driver´s drowsiness in both driving modes.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 3","pages":"Pages 340-351"},"PeriodicalIF":3.6,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85896125","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

Uncertainty analysis of autonomous delivery robot operations for last-mile logistics in European cities 欧洲城市最后一英里物流配送机器人自主操作的不确定性分析

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-04-18 DOI: 10.1080/15472450.2024.2324388

Clément Lemardelé, Miquel Estrada, Laia Pagès

引用次数: 0

Capturing the true bounding boxes: vehicle kinematic data extraction using unmanned aerial vehicles 捕捉真正的边界框：利用无人飞行器提取车辆运动学数据

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-04-18 DOI: 10.1080/15472450.2024.2341395

Tian Mi, Dénes Takács, Henry Liu, Gábor Orosz

引用次数: 0

Multi-head attention-based intelligent vehicle lane change decision and trajectory prediction model in highways 基于多头注意力的高速公路智能车辆变道决策和轨迹预测模型

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-04-18 DOI: 10.1080/15472450.2024.2341392

Junyu Cai, Haobin Jiang, Junyan Wang, Aoxue Li

引用次数: 0

A framework of transportation mode detection for people with mobility disability 行动不便者交通模式检测框架

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-03-19 DOI: 10.1080/15472450.2024.2329901

Jiwoong Heo, Sungjin Hwang, Jucheol Moon, Jaehwan You, Hansung Kim, Jaehyuk Cha, Kwanguk (Kenny) Kim

引用次数: 0

Robust learning control for autonomous vehicle with network delays and disturbances 具有网络延迟和干扰的自主车辆鲁棒学习控制

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-03-19 DOI: 10.1080/15472450.2024.2329912

Jing Wang, Engang Tian, Huaicheng Yan

引用次数: 0

Transit Signal Priority under Connected Vehicle Environment: Deep Reinforcement Learning Approach 车联网环境下的公交信号优先：深度强化学习方法

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-02-29 DOI: 10.1080/15472450.2024.2324385

Tianjia Yang, Wei (David) Fan

引用次数: 0