Internet pricing is receiving increased attention in industry and academia. In this paper, we report the results of comparing two Internet pricing models. Using simulation techniques, we evaluate the technical and economic efficiencies of the Smart Market model proposed by MacKie-Mason & Varian (1993) and compare it with Dynamic Capacity Contracting, a pricing scheme that we have developed. Dyn...

In 2003, the city of London implemented a congestion pricing policy in order to reduce traffic and raise revenues for transit improvements. The dramatic success of this system has led to widespread consideration of the adoption of such variable tolling, including road pricing, in dense urban cores around the world. While from many perspectives the broad implementation of such congestion pricing...

The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion which in turn affects air pollution. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable to ameliorate and contr...

This paper analyzes airport congestion when carriers are nonatomistic, showing how the results of the road-pricing literature are modi ̄ed when the economic agents causing congestion have market power. The analysis shows that when an airport is dominated by a monopolist, either discriminating or nondiscriminating, congestion is fully internalized, provided that a separability assumption on trave...

The authors present a precedence based bandwidth management and pricing proxy server for controlling Internet communication in an intelligent and adaptive manner. Both proportional fairness and congestion avoidance flow control treatments are examined. The proposed proxy server is designed to alleviate Internet congestion and apply priority and incentive based Internet usage and pricing.

In this paper we present an analysis of investment incentives for network infrastructure owners under two different pricing strategies: congestion based negative externality pricing and the prevalent flat rate pricing. The challenge in a networked environment is to increase capacity of the different components of the network appropriately based on demand for these different components. We devel...

Supported by general revenues from the State of Texas. 16. Abstract In the United States, a significant number of individuals depend on the auto mode of transportation. The high auto dependency, in turn, has resulted in high auto travel demand on highways. The resulting traffic congestion levels, surging oil prices, the limited ability to address increased auto travel demand through building a...

Pricing has turned into a highly significant matter for suppliers and their customers since deregulation has been realized in the electrical industry and many countries have revised the structure of their electrical energy market by defining different competition levels in generation, transmission and distribution. In the current paper, a proposed algorithm based on games theory has been used f...

Numerous examples of real time services arise in the service industry that can be modeled as loss systems. These include agent staffing for call centers, provisioning bandwidth for private line services, making rooms available for hotel reservations and congestion pricing for parking spaces. Given that arriving customers make their decision to join the system based on the current service price,...