Socially-Optimal Auction-Theoretic Intersection Management
Submitted for publication
Adam Morrissett, Patrick J. Martin
Control-Minimal Time-Assigned Path-Constrained Trajectory Optimization
2023 American Control Conference (ACC) (to appear in)
Adam Morrissett, Patrick J. Martin
Socially-Optimal Auction-Theoretic Intersection Management System
2022 IEEE Intelligent Vehicles Symposium (IV)
Adam Morrissett, Patrick J. Martin, Sherif Abdelwahed
Unsignalized intersections are often sources of congestion and collisions. When human-driven vehicles arrive simultaneously, the drivers typically creep out into the inter-section or wave each other through to break stalemates. While intuitive for human drivers, this approach would be challenging for autonomous vehicles (AVs). Current AVs typically operate in isolation without explicitly communicating their intentions to others. In this paper, we propose an auction-based intersection management system (IMS) to determine a crossing schedule. Vehicles bid for crossing time using a cost function over different possible crossing times, and the IMS assigns crossing times that maximize social utility. We evaluate our system with an ambiguous crossing scenario and demonstrate its usefulness in determining socially-optimal crossing schedules.
OpenCity: An Open Architecture Testbed for Smart Cities
2021 IEEE International Smart Cities Conference (ISC2)
Nasibeh Zohrabi, Patrick J. Martin, Murat Kuzlu, Lauren Linkous, Roja Eini, Adam Morrissett, Mostafa Zaman, Ashraf Tantawy, Oezguer Gueler, Maher Al Islam, Nathan Puryear, Halil Kalkavan, Jonathan Lundquist, Erwin Karincic, Sherif Abdelwahed
This paper presents an open architecture testbed for smart cities, called OpenCity, which is hosted at Virginia Commonwealth University (VCU). The OpenCity platform consists of data collection and processing units, database management, distributed performance management algorithms, and real-time data visualization. This smart city testbed aims to support various educational and research activities related to smart city development. The testbed provides a near-real-life platform to allow students to learn about the unique features of smart cities and explore supporting technologies. In addition, it allows researchers to develop, deploy, and validate new techniques, tools, and technologies to support future smart city developments. The OpenCity platform will support various ongoing important research directions in smart cities, including smart homes and buildings, urban mobility, smart grid, and water management. In addition, it will be extendable to include other potential applications and components as needed. The testbed will be validated by developing and deploying a management system that focuses on users’ experience and resource efficiency. The management system incorporates learning techniques and model-based predictive control approaches to take into account the current and future information of uncertain parameters as well as the subjective data (e.g., user-related data) in the design. The OpenCity management structure enables real-time control and monitoring of complex components in the testbed.
A Review of Non-Lane Road Marking Detection and Recognition
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Adam Morrissett, Sherif Abdelwahed
Environment perception is a critical function used by driving automation systems, or self-driving cars, for detecting objects such as obstacles, lane markings, and road signs. In order to replace human drivers, self-driving cars will need to safely operate in parking lots, private roads, underground, or any other environment with poor GPS signals or uncharted infrastructure. While much attention has been spent on recognizing lane markings, non-lane road markings have received considerably less attention. Current perception systems can recognize only a small subset of markings and often only under favorable weather conditions. This limitation is exacerbated by the current quality of scene segmentation data sets. Only a select few of existing data sets have annotations for non-lane road markings, and the ones that do only have them for a small number of marking types. Additionally most of the data sets were generated under one type of driving condition. Finally, it is difficult to determine if current recognition systems can satisfy real-time requirements. This paper investigates the current limitations and challenges for non-lane road marking detection and recognition including recognition capabilities, data set quality, and inference times.
A Physical Testbed for Intelligent Transportation Systems
2019 12th International Conference on Human System Interaction (HSI)
Adam Morrissett, Roja Eini, Mostafa Zaman, Nasibeh Zohrabi, Sherif Abdelwahed
Intelligent transportation systems (ITSs) and other smart-city technologies are increasingly advancing in capability and complexity. While simulation environments continue to improve, their fidelity and ease of use can quickly degrade as newer systems become increasingly complex. To remedy this, we propose a hardware- and software-based traffic management system testbed as part of a larger smart-city testbed. It comprises a network of connected vehicles, a network of intersection controllers, a variety of control services, and data analytics services. The main goal of our testbed is to provide researchers and students with the means to develop novel traffic and vehicle control algorithms with higher fidelity than what can be achieved with simulation alone. Specifically, we are using the testbed to develop an integrated management system that combines model-based control and data analytics to improve the system performance over time. In this paper, we give a detailed description of each component within the testbed and discuss its current developmental state. Additionally, we present initial results and propose future work.
A Physical Testbed for Smart City Research
2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)
Adam Morrissett, Sherif Abdelwahed
City infrastructure is deteriorating, traffic management systems are becoming increasingly inefficient due to volume, and resources are becoming scarce. In the era of information and analytics, the idea of smart cities has been increasingly proposed as a solution to inefficient public services and resource management. While some cities have had success with beginning to transform into smart cities, the process has revealed significant barriers. One of which is the communication infrastructure necessary to create an interconnected network of sensors, actuators, and analytics systems. This barrier is discussed, and a physical testbed for smart city research is proposed. The current progress of the testbed development is reported, and a plan for continued work is outlined.