The use and creation of combined high-occupancy vehicle/high-occupancy toll (HOV/HOT Lanes) have become more common in urban areas since all types of road users can take advantage of the lane either as a high-occupancy vehicle or opting in to pay a congestion adjusted free. However, to maintain working integrity of the lanes for all users, stepped enforcement to discourage cheating has been needed as more lanes are added. This study evaluated the capability of a novel image sensor device to automate detection of in-vehicle occupants to flag law enforcement of HOV/HOT lane violators. The sensor device synchronously captures three co-registered images, one in the visible spectrum and two others in the infrared bands. The key idea is that the infrared bands can enhance correct occupancy detection through known phenomenological spectral properties of objects and humans residing inside the vehicle. Several experiments were conducted to determine this capability across varied conditions and scenarios to assess detection segmentation algorithms of vehicle passengers and drivers. Although occupancy detection through vehicle glass could be achieved in many cases, improvements must be made to such a detection system to increase robustness and reliability as a law enforcement tool. These improvements were guided by the experimental results, as well as suggested methods for deployment if this or similar technologies were to be deployed in the future.

High-occupancy vehicle (HOV) facilities in Virginia have proven to be effective in enhancing mobility. This success, along with the availability of electronic toll collection technology, has led the Commonwealth to expand the HOV system and pursue the implementation of high-occupancy toll (HOT) facilities in the state. Although these facilities hold promise to help address the growing demand for travel in Virginia, a significant challenge in achieving their potential lies in the ability to enforce occupancy requirements in a manner that has minimal impact on the operation of the facilities. This has proven to be a challenge for HOV facilities and will be an even more complex undertaking on HOT facilities. The purpose of this study was to examine occupancy enforcement on HOV and HOT facilities. This examination focused on three areas: assessing the impact of existing manual violation enforcement techniques on HOV violation rates; exploring the feasibility of using new technologies/techniques to improve the effectiveness of violation enforcement; and assessing the impact of violation enforcement techniques on the operations of HOV/HOT lanes. The results of the research indicate that current saturation enforcement techniques are not effective in reducing violation rates. However, no proven technologies are currently available that offer the potential to automate enforcement of occupancy restrictions. Finally, a simulation methodology was developed that may be used to estimate the operations' impacts on current and future enforcement techniques and technologies. The report offers a number of recommendations to address the challenges of HOV/HOT occupancy enforcement in Virginia: (1) the current practice of sporadic saturation enforcement should be discontinued in exchange for regular, continuous enforcement; (2) the HOV Enforcement Task Force should look critically at current HOV policies to identify and recommend specific changes to reduce the likelihood of citations being dismissed in adjudication; and (3) the methodology developed in this research should be used to evaluate new enforcement techniques and technologies before they are implemented.

Can still-photos be used for automated enforcement of HOV lane violations? Can it consistently and adequately record the actual number of occupants in moving vehicles? Can individuals who personally observe moving vehicles from a roadside position consistently and accurately detect the actual number of occupants? This report has the answers.

This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.

This report documents a study conducted to assess and test promising technologies for HOV lane enforcement. After a qualitative assessment of video, automatic vehicle identification, and infrared machine vision technologies, the study was suspended because no preferred infrared technology was available for testing. The study was resumed when a vendor demonstrated promising video technology. The highoccupancy vehicle enforcement and review (HOVER) system was then developed for an operational test on the East R.L. Thornton (I-30) contraflow HOV lane in Dallas, Texas. The results of the operational test indicated that the HOVER system, in its current state, could support a program that mails HOV information to suspected violators (similar to the HERO program). The study's limited budget prevented several improvements that could improve the capabilities of the HOVER system. With several enhancements to the system (e.g., improved license plate recognition and "whitelist" license plate database, etc.), the HOVER system could be used to perform enforcement screening. Significant enhancements to the system (e.g., high-quality video cameras and additional camera views, improved video signal transmission, improved license plate capture and recognition, etc.) could enable its use for HOV ticket-by-mail programs, although enabling legislation does not currently exist in Texas. The author recommends implementation of these enhancements and further testing to determine future system potential.