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Showing papers on "Traffic wave published in 1987"


Journal ArticleDOI
TL;DR: In this paper, a model consisting of a continous traffic flow model and a probabilistic travel demand model of the choice of departure time was developed and analyzed for peak period traffic flows and delays in congested urban corridor.
Abstract: This paper develops and analyses a dynamic model of peak period traffic flows and delays in a congested urban corridor. The model consists of a continous traffic flow model and a probabilistic travel demand model of the choice of departure time. Analytical solution is obtained for the model under no congestion and numerical simulations are used to investigate the general case with congestion. The results demonstrate the interdependencies among upstream and downstream bottlenecks and the interactions among the traffic from different origins.

6 citations


Journal ArticleDOI
TL;DR: This prediction method is able to treat any kind of road traffic noise fluctuation generated from actual non-Poisson type traffic flow, once information has been obtained on the wave form of the level time pattern observed when one vehicle passes directly in front of an observation point.

5 citations


Journal ArticleDOI
TL;DR: In this article, a matrix of origin-destination demands of road traffic being given, determine signal timings minimizing the total travel time, knowing that each driver minimizes his own travel time (first principle of Wardrop).

2 citations


01 Jan 1987
TL;DR: In this article, a new computerized microscopic traffic simulation model ROADTEST is described, which can be used to model almost any urban road and rail network from a single intersection to an area of a city, including freeways, railroads, transit routes and pedestrian facilities.
Abstract: A new computerized microscopic traffic simulation model ROADTEST is described. The model a general purpose one, permits simulation of any vehicles including trains and fixed route transit vehicles such as buses and light rail vehicles in addition to cars, high occupancy vehicles, trucks and pedestrians. It can be used to model almost any urban road and rail network from a single intersection to an area of a city, including freeways, railroads, transit routes, and pedestrian facilities. There are no restrictions on the size, shape, or composition of the network. Any number of vehicle paths such as a traffic lane, rail line, or pedestrian crosswalk can be placed in any configuration. Paths are made up of any number of circular arcs and straight lines. Almost any traffic control situation can be modeled including signal preemption, railroad gates, lane control, lane blockages, on-line or off-line transit vehicle stops, variable speed signs, stop signs, and yield control.

1 citations