On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms

We study the interaction between a fleet of electric, self-driving vehicles servicing on-demand transportation requests (referred to as Autonomous Mobility-on-Demand, or AMoD, system) and the electric power network. We propose a model that captures the coupling between the two systems stemming from the vehicles' charging requirements and captures time-varying customer demand and power generation costs, road congestion, battery depreciation, and power transmission and distribution constraints. We then leverage the model to jointly optimize the operation of both systems. We devise an algorithmic procedure to losslessly reduce the problem size by bundling customer requests, allowing it to be efficiently solved by off-the-shelf linear programming solvers. Next, we show that the socially optimal solution to the joint problem can be enforced as a general equilibrium, and we provide a dual decomposition algorithm that allows self-interested agents to compute the market clearing prices without sharing private information. We assess the performance of the mode by studying a hypothetical AMoD system in Dallas-Fort Worth and its impact on the Texas power network. Lack of coordination between the AMoD system and the power network can cause a 4.4% increase in the price of electricity in Dallas-Fort Worth; conversely, coordination between the AMoD system and the power network could reduce electricity expenditure compared to the case where no cars are present (despite the increased demand for electricity) and yield savings of up $147M/year. Finally, we provide a receding-horizon implementation and assess its performance with agent-based simulations. Collectively, the results of this paper provide a first-of-a-kind characterization of the interaction between electric-powered AMoD systems and the power network, and shed additional light on the economic and societal value of AMoD.Comment: Extended version of the paper presented at Robotics: Science and Systems XIV and accepted by TCNS. In Version 4, the body of the paper is largely rewritten for clarity and consistency, and new numerical simulations are presented. All source code is available (MIT) at https://dx.doi.org/10.5281/zenodo.324165

On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms

We study the interaction between a fleet of electric, self-driving vehicles servicing on-demand transportation requests (referred to as Autonomous Mobility-on-Demand, or AMoD, system) and the electric power network. We propose a model that captures the coupling between the two systems stemming from the vehicles' charging requirements and captures time-varying customer demand and power generation costs, road congestion, battery depreciation, and power transmission and distribution constraints. We then leverage the model to jointly optimize the operation of both systems. We devise an algorithmic procedure to losslessly reduce the problem size by bundling customer requests, allowing it to be efficiently solved by off-the-shelf linear programming solvers. Next, we show that the socially optimal solution to the joint problem can be enforced as a general equilibrium, and we provide a dual decomposition algorithm that allows self-interested agents to compute the market clearing prices without sharing private information. We assess the performance of the mode by studying a hypothetical AMoD system in Dallas-Fort Worth and its impact on the Texas power network. Lack of coordination between the AMoD system and the power network can cause a 4.4% increase in the price of electricity in Dallas-Fort Worth; conversely, coordination between the AMoD system and the power network could reduce electricity expenditure compared to the case where no cars are present (despite the increased demand for electricity) and yield savings of up $147M/year. Finally, we provide a receding-horizon implementation and assess its performance with agent-based simulations. Collectively, the results of this paper provide a first-of-a-kind characterization of the interaction between electric-powered AMoD systems and the power network, and shed additional light on the economic and societal value of AMoD.Comment: Extended version of the paper presented at Robotics: Science and Systems XIV, in prep. for journal submission. In V3, we add a proof that the socially-optimal solution can be enforced as a general equilibrium, a privacy-preserving distributed optimization algorithm, a description of the receding-horizon implementation and additional numerical results, and proofs of all theorem

Information Outlook, September 1997

Volume 1, Issue 9https://scholarworks.sjsu.edu/sla_io_1997/1008/thumbnail.jp

A structural model to examine the antecedents and consequences of customer with experiential brands

Despite the increasing attention towards customer experience, empirical research to explain this notion, its antecedents and its consequences is still limited. Hence, this research aims to develop a framework of customer experience based on a number of antecedents that influence customer experience in the service sector. This paper presents the first part of the study which includes the review of literature, the application of netnography method to the development of customer experience construct, the development of the research measures and the hypotheses development for the structural model. The second part of the study, which is presented in another paper, provides the results of the empirical study and discusses the findings of the structural model

Becoming Lean pocket guide

This pocket guide aims to give an overview of what Lean is on a conceptual level, explain how Lean fits into the Higher Education setting, detail how Lean is being applied in the University, and give ideas about how Lean can be implemented in other areas of the University.Publisher PD

Spectrum Allocation for 3G in Philippines: Implications for Policy Makers and Regulators

The commercial potential of wireless applications has brought spectrum policies to the forefront of regulatory arena. The visibility of the telecom sector and the prior experience of 3G licensing in Europe and UK have made several Asian regulators and policy makers wary of using auctions. This paper details out the beauty contest approach adopted by NTC to allocate 3G licenses and the issues that arose as a consequence and highlights the influence of global developments (European and UK 3G auctions) on domestic spectrum allocation processes. The adoption of the beauty contest approach and fixed license fee was justified by NTC on the grounds of ensuring lower prices to consumers but it led to criticism that it was a clear violation of law, as NTC was mandated to promote competition. In this context, auctions would have been a better and more economically efficient process. The case study highlights the importance of incorporating economic principles, design of a transparent evaluation criteria and communication of the same to the bidders prior to the event. Policy makers need to recognize that well designed auctions are transparent mechanism to allocate scarce resource to those entities who value it most. While beauty contests may appear to be simple mechanisms to administer, lack of clarity in design could lead to non transparency and subsequent possibility of litigation and delays. The study also brings out that although an open consultative approach in the early stages may appear to delay the process, in the long run, it leads to more transparent and robust solutions.

Achieving Excellence through Memorable Traveler Experience and Challenges,Opportunities and Solutions for Romanian Travel and Hospitality Industry

Hospitality industry is probably the fastest growing one in the world. The tourism company should endeavour to shape the overall perception of value in this industry. What matters is the provision of experiences, but not services. To meet international standards the Romanian tourism should consider challenges, opportunities and solutions to cope with the specific requirements in this field.Hausehold Behaviour; Sustenable Development; Regional Development Policy; Tourism

Appendix: Case Studies of Financial Institutions that Offer Alternative Small Dollar Loans

This paper is an Appendix to the IABG paper, "Alternative Small Dollar Loans: Building the Business Case", and provides case studies of financial institutions that currently offer an alternative small dollar loan product -- many that are based in Illinois. These case studies provide examples of various strategies to implement an alternative small dollar loan program. Additionally, the data from these programs can begin to build a business case for this product