Journal of Intelligent Transportation Systems最新文献_第8页

Operation of dedicated lanes with intermittent priority on highways: conceptual development and simulation validation 高速公路上具有间歇优先权的专用车道的运行：概念开发和模拟验证

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-01-02 DOI: 10.1080/15472450.2022.2101110

Yinghao Shao , Jian Sun , Yuheng Kan , Ye Tian

{"title":"Operation of dedicated lanes with intermittent priority on highways: conceptual development and simulation validation","authors":"Yinghao Shao , Jian Sun , Yuheng Kan , Ye Tian","doi":"10.1080/15472450.2022.2101110","DOIUrl":"10.1080/15472450.2022.2101110","url":null,"abstract":"<div><p>Dedicated Lanes (DLs) have become prevalent on highways and arterial roads as they help accelerate carpooling vehicles or buses. However, capacity is wasted if the penetration rates of these vehicles with priority are low. Wasted capacity can be utilized optimally by implementing Vehicle-to-Everything (V2X) technology and granting General-Purpose (GP) vehicles the ability to traverse on DLs. However, existing research on flexible DLs has mostly focused on preset, static operating rules. In this study, we propose a true, active DL management strategy named Dedicated Lane with Intermittent Priority (DLIP) that operates at the vehicle level. An Optimal Right of Way Allocation (ORWA) model is proposed that maximizes the benefits of allowing GP vehicles into the DLs. To validate the proposed strategy, a simulation model based on VISSIM was developed. Results under various demand scenarios demonstrate that the proposed strategy outperforms traditional DL management strategies in terms of overall productivity, with improvements ranging from 10% to 25%.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 1","pages":"Pages 69-83"},"PeriodicalIF":3.6,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77347741","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: 2

Decentralized spreading of ephemeral road incident information between vehicles 在车辆之间分散传播短暂的道路事故信息

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-01-02 DOI: 10.1080/15472450.2022.2095206

Wenyan Hu , Stephan Winter , Kourosh Khoshelham

引用次数: 0

A methodology for generating driving styles for autonomous cars 生成自动驾驶汽车驾驶风格的方法

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-01-02 DOI: 10.1080/15472450.2022.2109417

Rafael Peralta , Israel Becerra , Ubaldo Ruiz , Rafael Murrieta-Cid

引用次数: 0

Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data 利用众包探测车数据，基于机器学习实时预测高速公路碰撞风险

IF 3.6 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2024-01-02 DOI: 10.1080/15472450.2022.2106564

Zihe Zhang , Qifan Nie , Jun Liu , Alex Hainen , Naima Islam , Chenxuan Yang

{"title":"Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data","authors":"Zihe Zhang , Qifan Nie , Jun Liu , Alex Hainen , Naima Islam , Chenxuan Yang","doi":"10.1080/15472450.2022.2106564","DOIUrl":"10.1080/15472450.2022.2106564","url":null,"abstract":"<div><p>Real-time prediction of crash risk can support traffic incident management by generating critical information for practitioners to allocate resources for responding to anticipated traffic crashes proactively. Unlike previous studies using archived traffic data covering a limited highway environment such as a segment or corridor, this study uses a statewide live traffic database from HERE to develop real-time traffic crash prediction models. This database provides crowdsourced probe vehicle data that are high-resolution real-time traffic speed for the entire freeway network (nearly 2,000 miles) in Alabama. This study aims to use machine learning models to predict crash risk on freeways according to pre-crash traffic dynamics (e.g., mean speed, speed reduction) along with static freeway attributes. Traffic speed characteristics were extracted from the HERE database for both pre-crash and crash-free traffic conditions. Random Forest (RF), Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost) were developed and compared. Separate models were estimated for three major crash types: single-vehicle, rear-end, and sideswipe crashes. The model prediction accuracy indicated that the RF models outperform other models. Models for rear-end crashes are found to have greater accuracy than other models, which implies that rear-end crashes have a significant relationship with pre-crash traffic dynamics and are more predictable. The traffic speed factors that are ranked high in terms of feature importance are the speed variance and speed reduction prior to crashes. According to partial dependence plots, the rear-end crash risk is positively related to the speed variance and speed reductions. More results are discussed in the paper.</p></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"28 1","pages":"Pages 84-102"},"PeriodicalIF":3.6,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89311787","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: 4

Trajectory optimization for connected and automated vehicles in a drop-off area of the departure curbside 出发路边落客区联网自动驾驶车辆的轨迹优化

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2023-11-02 DOI: 10.1080/15472450.2022.2077650

Chang Lu , Yuehui Wu , Hao Li , Huizhao Tu

引用次数: 0

Operational and safety impacts of integrated variable speed limit with dynamic hard shoulder running 动态硬肩综合变速限制对运行和安全的影响

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2023-11-02 DOI: 10.1080/15472450.2022.2078664

Karan Arora , Lina Kattan

{"title":"Operational and safety impacts of integrated variable speed limit with dynamic hard shoulder running","authors":"Karan Arora , Lina Kattan","doi":"10.1080/15472450.2022.2078664","DOIUrl":"10.1080/15472450.2022.2078664","url":null,"abstract":"<div><div>The combination of various Intelligent Transportation System (ITS) strategies generally has manifold effects, much greater than when strategies are implemented individually. This research introduces a novel dynamic control strategy, which includes the dynamic use of a Model Predictive Control (MPC) based Variable Speed Limit (VSL) integrated with the dynamic use of Hard Shoulder Running (HSR). Both VSL and HSR are proactively triggered to allow for necessary control measures to be taken to delay and possibly avoid the formation of a bottleneck. For traffic prediction, a modified METANET model is developed which takes into consideration the complex nature of driver’s behavior along with driver’s compliance, capacity drop and posted speed limits. The modified METANET model is shown to be more efficient than conventional macroscopic prediction models in detecting traffic congestions. This MPC based strategy was tested on a section of Deerfoot Trail, Calgary, Alberta using an exclusively developed integrated VISSIM-COM-MATLAB interface. The results from this study suggested that the integrated VSL and HSR control strategy results in a 21.09% increase in average speed and 33.44%. in vehicle-throughput. Furthermore, there was a noticeable reduction in the average travel time by 39.98% and in the total number of stops, by 32.43%. Importantly, the safety analysis performed using Surrogate Safety Assessment Model (SSAM) revealed a notable reduction in collisions, by 29.73%.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"27 6","pages":"Pages 769-798"},"PeriodicalIF":2.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75515844","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

Research on route hierarchical control strategy from the perspective of macroscopic traffic network 宏观交通网络视角下的路线分级控制策略研究

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2023-11-02 DOI: 10.1080/15472450.2022.2084337

Leilei Kang , Weike Lu , Lan Liu

{"title":"Research on route hierarchical control strategy from the perspective of macroscopic traffic network","authors":"Leilei Kang , Weike Lu , Lan Liu","doi":"10.1080/15472450.2022.2084337","DOIUrl":"10.1080/15472450.2022.2084337","url":null,"abstract":"<div><div>In order to alleviate traffic congestion, transfer the regional orientation of macroscopic traffic flow to microscopic routes, and form a unified and coordinated framework of macro path decision and micro path decision, a vehicle route hierarchical control strategy is proposed from the perspective of network macro aggregated information. Firstly, according to the homogeneity of vehicle density distribution, a network is divided into several sub-regions, and then the macro-aggregate dynamic mapping relationship of each sub-area is analyzed. Secondly, a traffic equilibrium distribution model is established under heterogeneous macro path conditions to minimize the travel time of traffic flow. To bring macro traffic flow solved by the above model to the projected into the actual network level, the logit route model is used to guide macro traffic flow to the micro-scale road network with the help of a simplified network. Finally, the SUMO simulation platform is employed to achieve the solution and verification of the hierarchical vehicle path control method. The experimental results prove that the strategy can effectively reduce the congestion of the urban road network during peak hours and improve the traffic capacity of the road network. It is also demonstrated that macroscopic aggregate information is one of the reliable information sources for vehicle path control and guidance in a road network.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"27 6","pages":"Pages 818-833"},"PeriodicalIF":2.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77945914","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 control strategy for platoon of connected and autonomous vehicles considering falsified information injected through communication links 考虑通过通信链路注入虚假信息的互联和自动驾驶车辆队列鲁棒控制策略

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2023-11-02 DOI: 10.1080/15472450.2022.2078203

Anye Zhou , Jian Wang , Srinivas Peeta

{"title":"Robust control strategy for platoon of connected and autonomous vehicles considering falsified information injected through communication links","authors":"Anye Zhou , Jian Wang , Srinivas Peeta","doi":"10.1080/15472450.2022.2078203","DOIUrl":"10.1080/15472450.2022.2078203","url":null,"abstract":"<div><div>Connected and Autonomous Vehicles (CAVs) in a platoon can exchange real-time information using Vehicle-to-Vehicle (V2V) communication technology to enhance platoon control performance. However, the V2V communication technology also provides opportunities for cyber-attacks, where falsified information can be injected into vehicle controllers to disrupt the platoon operation and even induce vehicle collisions. To address this problem, this study proposes a robust platoon control strategy for CAVs to mitigate the impacts of the falsified information to maneuver the CAV platoon to achieve consensus safely. The proposed control strategy consists of three components: (i) a <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> robust control law, which consistently negates the disturbance induced by falsified information; (ii) a state observer which estimates the vehicle states and disturbance induced by falsified information and inputs the estimated results into the <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> robust control law to compute a synthesized control decision; and (iii) a control decision regulator which applies a Control Barrier Function-based Quadratic Programming (CBF-QP) to regulate the control decision computed by the <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> robust control law to avoid actuator saturation issue and ensure safe spacing for each vehicle in the platoon. Numerical experiments demonstrate that the proposed control strategy can effectively drive the CAV platoon to the desired consensus safely and efficiently under the impacts of falsified information injection.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"27 6","pages":"Pages 735-751"},"PeriodicalIF":2.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76671783","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

Coordinated control model for arterials with asymmetric traffic 交通不对称的交通干线协调控制模型

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2023-11-02 DOI: 10.1080/15472450.2022.2078204

Xianyue Peng , Hao Wang

{"title":"Coordinated control model for arterials with asymmetric traffic","authors":"Xianyue Peng , Hao Wang","doi":"10.1080/15472450.2022.2078204","DOIUrl":"10.1080/15472450.2022.2078204","url":null,"abstract":"<div><div>To alleviate the congestion caused by the tidal traffic and to improve the operational performance of both directions in arterials, this paper proposes a coordinated control model for arterials with asymmetric traffic demands in both oversaturated and unsaturated directions. The model utilizes a three-step architecture: (1) A mixed-integer linear programming model is built to maximize the throughput according to the relationship between traffic supply and demand as well as the balance between inflow and outflow. (2) A quadratic programming model is constructed to minimize the vehicle delay in the oversaturated direction based on Lighthill-Whitham-Richards theory. (3) A mixed-integer linear programming model is built to maximize the variable bandwidth in the unsaturated direction by introducing the relaxation variable. Furthermore, a three-step algorithm is used to solve the model and obtain the optimal arterial signal timing. Finally, a simulation model is put forward to verify the coordinated model. The results indicate that the model meet the asymmetric traffic demand through optimizing the arterial throughput, reducing delay in the oversaturated direction and maximizing the green wave bandwidth in the unsaturated direction.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"27 6","pages":"Pages 752-768"},"PeriodicalIF":2.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77351165","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

Machine learning for activity pattern detection 用于活动模式检测的机器学习

IF 2.8 3区工程技术

Journal of Intelligent Transportation Systems Pub Date : 2023-11-02 DOI: 10.1080/15472450.2022.2084336

Natalia Selini Hadjidimitriou , Guido Cantelmo , Constantinos Antoniou

{"title":"Machine learning for activity pattern detection","authors":"Natalia Selini Hadjidimitriou , Guido Cantelmo , Constantinos Antoniou","doi":"10.1080/15472450.2022.2084336","DOIUrl":"10.1080/15472450.2022.2084336","url":null,"abstract":"<div><div>This paper proposes a data fusion approach to automatically detect activity patterns in a GPS dataset based on travel diaries and correct misclassification errors. The Activity Patterns Detection consists of a Supervised Learning framework, thanks to which the activity purposes in the travel diaries are learned and then predicted in the GPS dataset. Furthermore, we deploy Unsupervised Learning to identify similar spatial and temporal activities in the GPS dataset and, based on travel diaries, to correct the misclassification errors. This work shows that, based on a few observations in the travel diaries and a set of features such as the resting time before the activity takes place, the number of occurrences of the same trip and the percentage of the trip made during daytime and the speed, it is possible to detect activities with an overall accuracy of 90%. Since the GPS dataset does not have information on the activity performed by the user, in reality, the aggregated results are validated based on the Kolmogorov-Smirnov test. The experiment shows that, with a confidence level of 99%, the majority of spatial and temporal feature distributions of activities in the travel diaries dataset are similar to those in the GPS dataset. Thanks to this approach, planners and transport operators can automatically obtain spatial and temporal patterns of frequent activities in urban areas.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"27 6","pages":"Pages 834-848"},"PeriodicalIF":2.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83110258","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