Dispersion of traffic flow on urban road segments is often described by some typical statistical models such as the normal distribution model and the geometric distribution model. These probability-based models can fit traffic flow well under ideal physical environments but may not work...

This paper presents a new model which studies probability distributions of queue lengths at fixed time traffic signals. It extends Haight's model for Poisson arrivals that the arrival distribution during the effective red period is general and the headway between two successive departures is not...

This paper presents a conceptual activity-based and time-dependent traffic assignment model. The temporal utility profiles of activities are employed to formulate the temporal activity choice behavior of individuals as a multinomial logit model. Route choice behavior is then described as the...

This paper presents a combined trip distribution and assignment model with multiple user classes, in which the trip productions at origins and trip attractions at destinations for each mode are available. In this model, the entropy-type (or gravity-type) trip distribution submodel is...

Urban road networks in Hong Kong are highly congested, particularly during peak periods. Long vehicle queues at bottlenecks, such as the harbor tunnels, have become a daily occurrence. At present, tunnel tolls are charged in Hong Kong as one means to reduce traffic congestion. In general, flow...

A freeway or expressway corridor where all vehicles travel to the same destination such as the city centre is considered in this article, similar to the morning commute problem. A continuous time optimal control model that deals with the dynamic user optimal assignment for multiple origins and...

In this paper, the probability distribution of maximum number of opposed turns in a signal cycle is derived for a fixed time signalized intersection. Three cases have been studied separately. They are: (i) no turning vehicles can pass through the truncated gap, which occurs when the end of the...