One of the key issues for implementing congestion pricing is the pricing granularity (i.e. pricing interval or timescale). The Internet traffic is highly variant and hard to control without a mechanism that operates on very low time-scales, i.e. on the order of round-trip-times (RTTs). However, pricing naturally operates on very large timescales because of human involvement. Moreover, structure...

The overall goal of this study is to forecast both toll revenues and operational impacts associated with congestion pricing strategies, alone or in conjunction with other operational measures. This project showcases the integration of an Activity-Based Model (ABM) and Dynamic Traffic Assignment (DTA) tool in one coherent modeling framework for implementation and evaluation of congestion pricing...

Congestion pricing—charging a price to use highways that is high at peak hours and low at off-peak times—holds great potential for easing traffic congestion and reducing auto emissions in Southern California. New technology for nonstop electronic toll collection, coupled with increased public concern over congestion and auto emissions, makes implementation of such pricing more feasible today th...

1Pricing is important for the design, operation, and management of communication networks. Pricing has been used with two different meanings in the area of communication networks. One is the “optimization-oriented” pricing for network resource allocation: it is made popular by Kelly’s seminal work on network congestion control [2, 3]. For example, the Transmission Control Protocol (TCP) has bee...

Pricing is an effective tool to control congestion and achieve QoS provisioning for multiple differentiated levels of service. In this paper, we propose a practical, flexible and computationally simple pricing strategy that can achieve QoS provisioning in Differentiated Services networks with multiple priority classes at close to peak efficiency, while also maintaining stable transmission rates...

The solutions used to solve bi-level congestion pricing problems are usually based on heuristic network optimization methods which may not be able to find the best solution for these type of problems. The application of meta-heuristic methods can be seen as viable alternative solutions but so far, it has not received enough attention by researchers in this field. Therefore, the objective of thi...

To cope with the urban congestion problem resulted from rapid urbanization some cities are successfully using Electronic Road Pricing policy as a demand management measure. In 1982, Hong Kong Governmenttook initiative to experiment electronic road pricing in Hong Kong. Though, the project outcome reveals that Electronic Road Pricing could bring tremendous economic, social and environmental bene...

Despite its virtues, congestion pricing has yet to be widely adopted. This paper explores the issues of equity and use of toll revenue and several possible alternatives. The equity and efficiency problems of conventional (uncompensated) congestion pricing are outlined. Then, several alternatives are discussed and developed. A new compensation mechanism is developed, called the "delayer pays" pr...

Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. Despite the positive effects of congestion pricing, its implementation has faced problems. This paper investigates the issue of environmental equity in cordon pricing and a park-and-ride scheme. Although pollution decreases inside the cordon by implementa...

In this paper, the impact of endogenous information provision to drivers in road transport is investigated. A static economic equilibrium model is used, which allows potential road users to buy information on the prevailing (stochastic) traffic situation. It takes for granted that an indiviual will try to acquire proper information when the private benefits of doing so exceed the private costs....