Optimal Control Theory in Intelligent Transportation Systems Research - A Review
Jimmy SJ. Ren, Wei Wang, Stephen Shaoyi Liao

TL;DR
This review paper analyzes how optimal control theory (OCT) is applied in intelligent transportation systems (ITS) to address management issues like traffic congestion, highlighting research gaps and future directions.
Contribution
It provides a comprehensive review of 41 studies using OCT in ITS, categorizing their approaches and identifying key research gaps and future opportunities.
Findings
OCT is widely used to reduce traffic congestion in ITS.
Many studies focus on management issues like traffic flow optimization.
The paper identifies research gaps and suggests future directions for OCT in ITS.
Abstract
Continuous motorization and urbanization around the globe leads to an expansion of population in major cities. Therefore, ever-growing pressure imposed on the existing mass transit systems calls for a better technology, Intelligent Transportation Systems (ITS), to solve many new and demanding management issues. Many studies in the extant ITS literature attempted to address these issues within which various research methodologies were adopted. However, there is very few paper summarized what does optimal control theory (OCT), one of the sharpest tools to tackle management issues in engineering, do in solving these issues. It{\textquoteright}s both important and interesting to answer the following two questions. (1) How does OCT contribute to ITS research objectives? (2) What are the research gaps and possible future research directions? We searched 11 top transportation and control…
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Taxonomy
TopicsTraffic control and management · Transportation Planning and Optimization · Traffic Prediction and Management Techniques
