A multi-agent model of travelers competing to utilize a roadway in time and space is presented in this paper to illustrate the effect of congestion and pricing on traveler behaviors and network equilibrium. To realize the spillover effect among travelers, N-player games are constructed in which...

Are road pricing strategies regressive or progressive? This is a question that has been confronting researchers, practitioners, and policy-makers who seek to implement new mechanisms to raise funds for transportation while simultaneously managing demand. The theoretical literature is mixed, as...

A 2004-2006 longitudinal panel survey of I-394 residents found support levels at over 60 percent for the congestion priced High Occupancy Toll (HOT) lane, known to the Twin Cities of Minneapolis and St. Paul as MnPASS. This number varies only slightly when sorted by income levels, gender, and...

This paper develops congestion theory and congestion pricing theory from its microfoundations, the interaction of two or more vehicles. Using game theory, with a two-player game it is shown that the emergence of congestion depends on the players-relative valuations of early arrival, late...

This paper proposes a stochastic congestion and pricing model that combines a bottleneck model with stochastic queuing to study roadway congestion and pricing. Employing this model, two pricing schemes are developed: one is omniscient pricing for which the transportation administrative agency is...

This paper describes the modeling of recurring congestion in a network. It is shown that the standard economic models of marginal cost cannot describe precisely traffic congestion in networks during time-dependent conditions. Following a macroscopic traffic approach, we describe the equilibrium...

Congestion costs are emerging as one of the most important challenges faced by metropolitan planners and transport authorities in first world economies. In US these costs were as high as 78 million dollars in 2005 and are growing due to fast increases in travel delays. In order to solve the...

In this paper, we investigate congestion caused by differences in desired or possible speeds. Especially outside peak hours, speed differences are probably one of the most important reasons for congestion. Although the model setting, with one lane and no overtaking, may seem simple at first...

There has been wide interest in private supply of roads as a solution to traffic congestion. We study its efficiency under demand uncertainty: we solve for equilibrium and optimum as benchmarks, and evaluate the efficiency of possible regulatory policies for private road operators. We obtain...

We study the efficiency of private supply of roads under demand uncertainty and evaluate various regulatory policies. Due to demand uncertainty, capacity is decided before demand is known, but tolls can be adjusted after demand is known. Policy implications can differ considerably from those...