Road Asset Management and the Vehicles of the Future: An Overview, Opportunities, and Challenges

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY

International Journal of Intelligent Transportation Systems Research Pub Date : 2023-09-13 DOI:10.1007/s13177-023-00366-0

Matheus Gomes Correia, Adelino Ferreira

{"title":"Road Asset Management and the Vehicles of the Future: An Overview, Opportunities, and Challenges","authors":"Matheus Gomes Correia, Adelino Ferreira","doi":"10.1007/s13177-023-00366-0","DOIUrl":null,"url":null,"abstract":"Abstract Connected and automated vehicles (CAVs) have the potential to significantly impact transportation systems in terms of mobility, the environment, safety, and the economy. These vehicles rely on a range of sensors and cameras to detect road signs and lane markings, as well as to scan their surroundings, and they are connected to other vehicles and infrastructures. Previous research has highlighted the need for transport asset management processes to manage the intrinsic aspects of CAVs more effectively, with a view to improving performance, resource utilization, and budget planning. However, little literature was found with a deep discussion of how CAVs will impact asset management. In this article we offer an initial discussion on the impacts of CAVs on road asset management. To do so, we first provide a short introduction to CAVs, followed by an overview of road asset management. We then comprehensively discuss many asset management aspects that are affected by CAVs. Finally, future research opportunities, challenges, and important subjects are outlined.","PeriodicalId":44279,"journal":{"name":"International Journal of Intelligent Transportation Systems Research","volume":"20 1","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Transportation Systems Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13177-023-00366-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Abstract Connected and automated vehicles (CAVs) have the potential to significantly impact transportation systems in terms of mobility, the environment, safety, and the economy. These vehicles rely on a range of sensors and cameras to detect road signs and lane markings, as well as to scan their surroundings, and they are connected to other vehicles and infrastructures. Previous research has highlighted the need for transport asset management processes to manage the intrinsic aspects of CAVs more effectively, with a view to improving performance, resource utilization, and budget planning. However, little literature was found with a deep discussion of how CAVs will impact asset management. In this article we offer an initial discussion on the impacts of CAVs on road asset management. To do so, we first provide a short introduction to CAVs, followed by an overview of road asset management. We then comprehensively discuss many asset management aspects that are affected by CAVs. Finally, future research opportunities, challenges, and important subjects are outlined.

查看原文本刊更多论文

道路资产管理与未来车辆:概述、机遇与挑战

联网和自动驾驶汽车(cav)有可能在移动性、环境、安全和经济方面对交通系统产生重大影响。这些车辆依靠一系列传感器和摄像头来检测道路标志和车道标记，以及扫描周围环境，并与其他车辆和基础设施相连。先前的研究强调了运输资产管理流程的必要性，以更有效地管理自动驾驶汽车的内在方面，以提高性能、资源利用率和预算规划。然而，很少有文献深入讨论cav将如何影响资产管理。本文对自动驾驶汽车对道路资产管理的影响进行了初步探讨。为此，我们首先对自动驾驶汽车进行了简短的介绍，然后对道路资产管理进行了概述。然后，我们将全面讨论受cav影响的许多资产管理方面。最后，概述了未来研究的机遇、挑战和重要课题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Intelligent Transportation Systems Research TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： This journal is the only transportation journal to report on multi-disciplinary research efforts with the goal to discover solutions to difficult issues in the field. It provides a platform to bring together researchers and specialists in the fields of transportation, electrical, mechanical and traffic engineering, as well as those in the areas of policy planning, economics, and psychology, for wide-ranging discussion about future transportation systems. The journal is the global forum for transportation research. Papers published include original research in such areas as: Sensor Technology Imaging, Laser, Induction Coil, Ultrasonic Sensor and Recognition Technology based on the above mentioned technologies. Communication Technology and its Applications Infrared Beacon, Radio Wave DSRC (Dedicated Short Range Communication), ETC (Electronic Toll Collection System), Navigation System Vehicle Control and Automated Driving AHS (Advanced Cruise-Assist Highway System), ACC (Adaptive Cruise Control), Lane-Keep, Automatic Driving, Automatically Operated Bus Safety Improvement and Human Interface ASV (Advanced Safety Vehicle), Cruise Assist, Simulator Traffic Control Incident Detection System, Traffic Measurement, Signal Control, Accident Management Traffic Planning Road Planning, Signal Planning, Traffic Simulation Urban Engineering Urban Space Modelling, Urban Planning Transportation Policy, Traffic Economy Creation & Improvement of Pertinent Laws and Regulations, TDM (Transportation Demand Management), Road Pricing, Privacy Protection Traffic Psychology Drivers, Pedestrians and Vulnerable Road Users Other Applied Technologies