2013 International Conference on Connected Vehicles and Expo (ICCVE), 2013
ABSTRACT Considering an emerging technological potential for large-scale deployment of self-drivi... more ABSTRACT Considering an emerging technological potential for large-scale deployment of self-driving vehicles, there is a need to establish intersection control mechanism. Contrary to some of the previous research efforts, this paper is proposing an expanded design perspective that includes social sustainability. The approach for sustainable design focuses on the notion of social justice. The framework of social justice is developed through a system of priority levels and hierarchically decentralized control based on distributed vehicle intelligence. The control mechanism has been developed in an agent-based environment. Testing of the system has proved its safety, user comfort, efficiency, and delay distribution requirements. Several recommendations for further research are presented.
2013 International Conference on Connected Vehicles and Expo (ICCVE), 2013
ABSTRACT Recent advancements in Cooperative Adaptive Cruise Control (CACC) technologies allows eq... more ABSTRACT Recent advancements in Cooperative Adaptive Cruise Control (CACC) technologies allows equipped vehicles to travel with much shorter headways on freeways, increasing freeway capacity and reducing fuel consumption. The technology, augmented by the capabilities made available through the connected vehicles framework, has opened the door for many significant developments in traffic management and control applications. In this paper, we present a novel multi-agent system approach to resolve conflicts based on a token-based dynamic priority index (PI) concept. Experimental results showed the ability of agents to adapt and form high performance streams in a connected vehicle environment as an emerging behavior.
Abstract: Decisions about upgrade of traffic signal equipment are often made relying on the exper... more Abstract: Decisions about upgrade of traffic signal equipment are often made relying on the experience of the senior traffic engineers. Analysis often bases on conventional techniques such as before-after analysis, pilot studies, etc. Factors considered are the deployment time of the system, new technology available, and the performance of the system in the area under purview. Previous research has not defined guidelines or methods for developing a plan for the system replacement decision on a large scale. In addition, previous projects ...
Advances in communication, sensing, and in-vehicle computing technology in the last two decades h... more Advances in communication, sensing, and in-vehicle computing technology in the last two decades have enabled the development of self-driving vehicle (SDV) technology. This technological development has a potential for revolutionizing traffic control technology. One of the questions for development of SDV technology is how these vehicles will interact in traffic, and especially at intersections, as critical points on the network. Alternatively to some previous research approaches, this research originates from the investigation of ethical dimension of the traffic control principles for SDVs. This approach is attempting to consider the development of SDV technology from a wider, sustainable perspective. Consequently, we will present the development of the traffic control framework that includes a perspective of social justice, emphasizing delay distribution. First, the paper will present methodological approach and foundational deliberations from one of the leading social justice theories in addition to human behavior considerations. This information will be used to establish a framework for the proposed traffic control mechanism. Furthermore, the paper will present information collected about the proposed framework based on surveys and interviews. Finally, we will present the framework redesign and recommendations for further research contemplation. The research presented here implies that there is a potential for development of traffic control principles which would enable end user responsibility in the control process.
Drawing perspectives from science and technology
studies, philosophy of science, and literature f... more Drawing perspectives from science and technology studies, philosophy of science, and literature from ethics and social justice, this paper examines the promises and challenges in the development of self-driving vehicle (SDV) technology. We start with the premise that the combination of different computing technologies embedded in SDVs is a powerful tool for efficiency in communications, information gathering, processing, and storage. However, by focusing on efficiency, SDVs provide a new mode of industrialized transportation whose users can only choose between transportation services, but have little or no say about the broader social implications of the technology. We argue that perspectives from social justice and ethics show that SDVs have implications beyond transportation, with profound consequences for users and societies. In particular, values such as privacy, security, and responsibility may be changed for good or bad, in both the short and long-term. The examination of these changes, while the technology is still under foundational development, is as urgent as it is needed.
The convergence of computing, sensing, and communication technology will soon permit large-scale ... more The convergence of computing, sensing, and communication technology will soon permit large-scale deployment of self-driving vehicles. This will in turn permit a radical transformation of traffic control technology. This paper makes a case for the importance of addressing questions of social justice in this transformation, and sketches a preliminary framework for doing so. We explain how new forms of traffic control technology have potential implications for several dimensions of social justice, including safety, sustainability, privacy, efficiency, and equal access. Our central focus is on efficiency and equal access as desiderata for traffic control design. We explain the limitations of conventional traffic control in meeting these desiderata, and sketch a preliminary vision for a next-generation traffic control tailored to address better the demands of social justice. One component of this vision is cooperative, hierarchically distributed self-organization among vehicles. Another component of this vision is a priority system enabling selection of priority levels by the user for each vehicle trip in the network, based on the supporting structure of non-monetary credits.
The development in vehicle short-range communication, sensing, and in-vehicle computing technolog... more The development in vehicle short-range communication, sensing, and in-vehicle computing technology provides an opportunity for wide-scale deployment of self-driving vehicles (SDVs). The issue of intersection control for these future vehicles is one of the emerging research issues. This research focuses on the question of traffic control framework for SDVs, while also attempting to incorporate the advantages and disadvantages to users ensuing from a control framework (i.e., delay distribution). The framework developed from these considerations is a version of Priority System (PS). In addition, distributed vehicle intelligence has been used to formulate a self-organizing control solution for trajectory adjustment. Considering that PS depends on end user responsibility, research presented here evaluates the proposed control framework by including human decision-making. First, this paper focuses on development of web-based experimentation for allowing user interaction with PS. In addition, this paper will use the information collected from the web-based experiment to develop simulation scenarios for an isolated intersection. Proposed control framework has been compared with the conventional actuated traffic signal control. The conclusion from the evaluation is that PS could affect the distribution of delay among the users, until the oversaturation threshold is reached. Finally, the paper presents a summary of results, conclusions, and recommendations for further research. The research presented here raises several implications for further considerations regarding intersection control principles for SDV technology.
Development of in-vehicle computer and sensing
technology, along with short-range vehicle-to-vehi... more Development of in-vehicle computer and sensing technology, along with short-range vehicle-to-vehicle communication has provided technological potential for large scale deployment of self-driving vehicles. The issue of intersection control for these future self-driving vehicles is one of the emerging research issues. Contrary to some of the previous research approaches, this paper is proposing a paradigm shift based upon cooperative self-organizing control framework with end-user responsibility. Distributed vehicle intelligence has been used to calculate each vehicle’s approaching velocity. The control mechanism has been developed in an agent-based environment. Self-organizing agent’s trajectory adjustment bases upon a proposed priority principle. Testing of the system has proved its safety, user comfort, and efficiency functional requirements. Several recommendations for further research are presented.
Abstract In order to extract additional benefits from a signal control system, traffic operation ... more Abstract In order to extract additional benefits from a signal control system, traffic operation engineers need enhanced understanding, analytical representation, and verification of traffic signal controller capabilities. This paper proposes methodology for providing in-depth information based on integration of Petri Net modeling and Software-in-the-loop simulation (SILS). These two techniques are recognized as capable to coordinately model and assess control capabilities.
2013 International Conference on Connected Vehicles and Expo (ICCVE), 2013
ABSTRACT Considering an emerging technological potential for large-scale deployment of self-drivi... more ABSTRACT Considering an emerging technological potential for large-scale deployment of self-driving vehicles, there is a need to establish intersection control mechanism. Contrary to some of the previous research efforts, this paper is proposing an expanded design perspective that includes social sustainability. The approach for sustainable design focuses on the notion of social justice. The framework of social justice is developed through a system of priority levels and hierarchically decentralized control based on distributed vehicle intelligence. The control mechanism has been developed in an agent-based environment. Testing of the system has proved its safety, user comfort, efficiency, and delay distribution requirements. Several recommendations for further research are presented.
2013 International Conference on Connected Vehicles and Expo (ICCVE), 2013
ABSTRACT Recent advancements in Cooperative Adaptive Cruise Control (CACC) technologies allows eq... more ABSTRACT Recent advancements in Cooperative Adaptive Cruise Control (CACC) technologies allows equipped vehicles to travel with much shorter headways on freeways, increasing freeway capacity and reducing fuel consumption. The technology, augmented by the capabilities made available through the connected vehicles framework, has opened the door for many significant developments in traffic management and control applications. In this paper, we present a novel multi-agent system approach to resolve conflicts based on a token-based dynamic priority index (PI) concept. Experimental results showed the ability of agents to adapt and form high performance streams in a connected vehicle environment as an emerging behavior.
Abstract: Decisions about upgrade of traffic signal equipment are often made relying on the exper... more Abstract: Decisions about upgrade of traffic signal equipment are often made relying on the experience of the senior traffic engineers. Analysis often bases on conventional techniques such as before-after analysis, pilot studies, etc. Factors considered are the deployment time of the system, new technology available, and the performance of the system in the area under purview. Previous research has not defined guidelines or methods for developing a plan for the system replacement decision on a large scale. In addition, previous projects ...
Advances in communication, sensing, and in-vehicle computing technology in the last two decades h... more Advances in communication, sensing, and in-vehicle computing technology in the last two decades have enabled the development of self-driving vehicle (SDV) technology. This technological development has a potential for revolutionizing traffic control technology. One of the questions for development of SDV technology is how these vehicles will interact in traffic, and especially at intersections, as critical points on the network. Alternatively to some previous research approaches, this research originates from the investigation of ethical dimension of the traffic control principles for SDVs. This approach is attempting to consider the development of SDV technology from a wider, sustainable perspective. Consequently, we will present the development of the traffic control framework that includes a perspective of social justice, emphasizing delay distribution. First, the paper will present methodological approach and foundational deliberations from one of the leading social justice theories in addition to human behavior considerations. This information will be used to establish a framework for the proposed traffic control mechanism. Furthermore, the paper will present information collected about the proposed framework based on surveys and interviews. Finally, we will present the framework redesign and recommendations for further research contemplation. The research presented here implies that there is a potential for development of traffic control principles which would enable end user responsibility in the control process.
Drawing perspectives from science and technology
studies, philosophy of science, and literature f... more Drawing perspectives from science and technology studies, philosophy of science, and literature from ethics and social justice, this paper examines the promises and challenges in the development of self-driving vehicle (SDV) technology. We start with the premise that the combination of different computing technologies embedded in SDVs is a powerful tool for efficiency in communications, information gathering, processing, and storage. However, by focusing on efficiency, SDVs provide a new mode of industrialized transportation whose users can only choose between transportation services, but have little or no say about the broader social implications of the technology. We argue that perspectives from social justice and ethics show that SDVs have implications beyond transportation, with profound consequences for users and societies. In particular, values such as privacy, security, and responsibility may be changed for good or bad, in both the short and long-term. The examination of these changes, while the technology is still under foundational development, is as urgent as it is needed.
The convergence of computing, sensing, and communication technology will soon permit large-scale ... more The convergence of computing, sensing, and communication technology will soon permit large-scale deployment of self-driving vehicles. This will in turn permit a radical transformation of traffic control technology. This paper makes a case for the importance of addressing questions of social justice in this transformation, and sketches a preliminary framework for doing so. We explain how new forms of traffic control technology have potential implications for several dimensions of social justice, including safety, sustainability, privacy, efficiency, and equal access. Our central focus is on efficiency and equal access as desiderata for traffic control design. We explain the limitations of conventional traffic control in meeting these desiderata, and sketch a preliminary vision for a next-generation traffic control tailored to address better the demands of social justice. One component of this vision is cooperative, hierarchically distributed self-organization among vehicles. Another component of this vision is a priority system enabling selection of priority levels by the user for each vehicle trip in the network, based on the supporting structure of non-monetary credits.
The development in vehicle short-range communication, sensing, and in-vehicle computing technolog... more The development in vehicle short-range communication, sensing, and in-vehicle computing technology provides an opportunity for wide-scale deployment of self-driving vehicles (SDVs). The issue of intersection control for these future vehicles is one of the emerging research issues. This research focuses on the question of traffic control framework for SDVs, while also attempting to incorporate the advantages and disadvantages to users ensuing from a control framework (i.e., delay distribution). The framework developed from these considerations is a version of Priority System (PS). In addition, distributed vehicle intelligence has been used to formulate a self-organizing control solution for trajectory adjustment. Considering that PS depends on end user responsibility, research presented here evaluates the proposed control framework by including human decision-making. First, this paper focuses on development of web-based experimentation for allowing user interaction with PS. In addition, this paper will use the information collected from the web-based experiment to develop simulation scenarios for an isolated intersection. Proposed control framework has been compared with the conventional actuated traffic signal control. The conclusion from the evaluation is that PS could affect the distribution of delay among the users, until the oversaturation threshold is reached. Finally, the paper presents a summary of results, conclusions, and recommendations for further research. The research presented here raises several implications for further considerations regarding intersection control principles for SDV technology.
Development of in-vehicle computer and sensing
technology, along with short-range vehicle-to-vehi... more Development of in-vehicle computer and sensing technology, along with short-range vehicle-to-vehicle communication has provided technological potential for large scale deployment of self-driving vehicles. The issue of intersection control for these future self-driving vehicles is one of the emerging research issues. Contrary to some of the previous research approaches, this paper is proposing a paradigm shift based upon cooperative self-organizing control framework with end-user responsibility. Distributed vehicle intelligence has been used to calculate each vehicle’s approaching velocity. The control mechanism has been developed in an agent-based environment. Self-organizing agent’s trajectory adjustment bases upon a proposed priority principle. Testing of the system has proved its safety, user comfort, and efficiency functional requirements. Several recommendations for further research are presented.
Abstract In order to extract additional benefits from a signal control system, traffic operation ... more Abstract In order to extract additional benefits from a signal control system, traffic operation engineers need enhanced understanding, analytical representation, and verification of traffic signal controller capabilities. This paper proposes methodology for providing in-depth information based on integration of Petri Net modeling and Software-in-the-loop simulation (SILS). These two techniques are recognized as capable to coordinately model and assess control capabilities.
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technological development has a potential for revolutionizing traffic control technology. One of the questions for development of SDV technology is how these vehicles will interact in traffic, and especially at intersections, as critical points on the network. Alternatively to some previous research approaches, this research originates from the investigation of ethical dimension of the traffic control principles for SDVs. This approach is attempting to consider the development of SDV technology from a wider, sustainable perspective. Consequently, we will present the development of the traffic control framework that includes a perspective
of social justice, emphasizing delay distribution. First, the paper will present methodological approach and foundational deliberations from one of the leading social justice theories in
addition to human behavior considerations. This information will be used to establish a framework for the proposed traffic control mechanism. Furthermore, the paper will present
information collected about the proposed framework based on surveys and interviews. Finally, we will present the framework redesign and recommendations for further research
contemplation. The research presented here implies that there is a potential for development of traffic control principles which would enable end user responsibility in the control process.
studies, philosophy of science, and literature from ethics and
social justice, this paper examines the promises and challenges in the development of self-driving vehicle (SDV) technology. We
start with the premise that the combination of different
computing technologies embedded in SDVs is a powerful tool for efficiency in communications, information gathering, processing, and storage. However, by focusing on efficiency, SDVs provide a new mode of industrialized transportation whose users can only choose between transportation services, but have little or no say about the broader social implications of the technology. We argue that perspectives from social justice and ethics show that SDVs have implications beyond transportation, with profound consequences for users and societies. In particular, values such as privacy, security, and responsibility may be changed for good or bad, in both the short and long-term. The examination of these
changes, while the technology is still under foundational
development, is as urgent as it is needed.
control design. We explain the limitations of conventional traffic control in meeting these desiderata, and sketch a preliminary vision for a next-generation traffic control
tailored to address better the demands of social justice. One component of this vision is cooperative, hierarchically distributed self-organization among vehicles. Another component of this vision is a priority system enabling selection of priority levels by the user for each vehicle trip in the network, based on the supporting structure of non-monetary credits.
technology, along with short-range vehicle-to-vehicle
communication has provided technological potential for large scale deployment of self-driving vehicles. The issue of intersection control for these future self-driving vehicles is one of the emerging research issues. Contrary to some of the previous research approaches, this paper is proposing a paradigm shift based upon cooperative self-organizing control framework with end-user responsibility. Distributed vehicle intelligence has been used to calculate each vehicle’s approaching velocity. The control mechanism has been developed in an agent-based environment. Self-organizing agent’s trajectory adjustment bases upon a proposed priority principle. Testing of the system has proved its safety, user comfort, and efficiency functional requirements. Several recommendations for further research are presented.
technological development has a potential for revolutionizing traffic control technology. One of the questions for development of SDV technology is how these vehicles will interact in traffic, and especially at intersections, as critical points on the network. Alternatively to some previous research approaches, this research originates from the investigation of ethical dimension of the traffic control principles for SDVs. This approach is attempting to consider the development of SDV technology from a wider, sustainable perspective. Consequently, we will present the development of the traffic control framework that includes a perspective
of social justice, emphasizing delay distribution. First, the paper will present methodological approach and foundational deliberations from one of the leading social justice theories in
addition to human behavior considerations. This information will be used to establish a framework for the proposed traffic control mechanism. Furthermore, the paper will present
information collected about the proposed framework based on surveys and interviews. Finally, we will present the framework redesign and recommendations for further research
contemplation. The research presented here implies that there is a potential for development of traffic control principles which would enable end user responsibility in the control process.
studies, philosophy of science, and literature from ethics and
social justice, this paper examines the promises and challenges in the development of self-driving vehicle (SDV) technology. We
start with the premise that the combination of different
computing technologies embedded in SDVs is a powerful tool for efficiency in communications, information gathering, processing, and storage. However, by focusing on efficiency, SDVs provide a new mode of industrialized transportation whose users can only choose between transportation services, but have little or no say about the broader social implications of the technology. We argue that perspectives from social justice and ethics show that SDVs have implications beyond transportation, with profound consequences for users and societies. In particular, values such as privacy, security, and responsibility may be changed for good or bad, in both the short and long-term. The examination of these
changes, while the technology is still under foundational
development, is as urgent as it is needed.
control design. We explain the limitations of conventional traffic control in meeting these desiderata, and sketch a preliminary vision for a next-generation traffic control
tailored to address better the demands of social justice. One component of this vision is cooperative, hierarchically distributed self-organization among vehicles. Another component of this vision is a priority system enabling selection of priority levels by the user for each vehicle trip in the network, based on the supporting structure of non-monetary credits.
technology, along with short-range vehicle-to-vehicle
communication has provided technological potential for large scale deployment of self-driving vehicles. The issue of intersection control for these future self-driving vehicles is one of the emerging research issues. Contrary to some of the previous research approaches, this paper is proposing a paradigm shift based upon cooperative self-organizing control framework with end-user responsibility. Distributed vehicle intelligence has been used to calculate each vehicle’s approaching velocity. The control mechanism has been developed in an agent-based environment. Self-organizing agent’s trajectory adjustment bases upon a proposed priority principle. Testing of the system has proved its safety, user comfort, and efficiency functional requirements. Several recommendations for further research are presented.