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Smart city article details
| Title | Leveraging Data-Driven Traffic Management In Smart Cities: Datasets For Highway Traffic Monitoring |
|---|---|
| ID_Doc | 35056 |
| Authors | Mahmud S.; Day C.M. |
| Year | 2022 |
| Published | The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems |
| DOI | http://dx.doi.org/10.1016/B978-0-12-817784-6.00009-6 |
| Abstract | The foundational technologies for smart cities, such as the proliferation of wireless connectivity among people, mobile devices, and infrastructure, offer a wealth of opportunities for improving the management of public roads. This chapter presents a survey of emerging datasets for urban traffic monitoring. This discussion begins by drawing comparisons with pavement management systems, an area of roadway management that was one of the earliest areas where wide-scale data collection initiated. Traffic monitoring is following a similar development path toward pervasive data collection, but the task is more challenging because of the highly dynamic nature of traffic. Historically, traffic data consisted mainly of counting data with limited deployments of speed sensors. More recently, new datasets have emerged that are transforming the ability of transportation agencies to manage highway systems. In traffic signal systems, the arrival of high-resolution data has provided a means of evaluating the quality of traffic control in richer detail than was before possible. Meanwhile, vehicle tracking has become commonplace with use of automatic vehicle identification (AVI) and automatic vehicle location (AVL), and several tools using such data are now used by many agencies. Another currently emergent type of data consists of vehicle sensor information collected through vehicle telematics. Auto manufacturers have already begun to deploy the equipment in new vehicles and are currently working on aggregating data from these. In future, automated vehicles are likely to require even more intense use of sensors so that the vehicles, their users, and other intelligent systems can react to emerging situations more effectively. © 2022 Elsevier Inc. All rights reserved. |
| Author Keywords | Autonomous vehicles; Connected vehicles; Highway monitoring; Intelligent transportation system; Performance measurement; Traffic monitoring |
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