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Open AccessProceedings ArticleDOI

Simulation analysis of two adjacent traffic signals

TLDR
This study attempts to show that there are benefits of coordination for some combinations of side street turning traffic and how to obtain the optimal offsets from the simulation model.
Abstract
The traffic delay and signal timing offset of adjacent signalized intersections are studied by stochastic computer simulation. The emphasis is on the effect of turning movements on traffic signal coordination. Coordination synchronizes the flow of traffic through a sequence of signals in order to minimize delays and stops. It's application is traditionally restricted to major thoroughfares where turning movements from side streets are insignificant. This study attempts to show that there are benefits of coordination for some combinations of side street turning traffic and how to obtain the optimal offsets from the simulation model.

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Journal ArticleDOI

Evaluating effects of traffic and vehicle characteristics on vehicular emissions near traffic intersections

TL;DR: In this paper, the authors examine the effect of traffic, vehicle and road characteristics on vehicular emissions with a view to understand a link between emissions and the most likely influencing and measurable characteristics.
Journal ArticleDOI

Using data mining techniques for optimizing traffic signal plans at an urban intersection

TL;DR: The results of a case study demonstrate that a dynamic signal policy using the data mining approach can produce a decrease of about 33.7% in the total waiting time of drivers during 1 year, in comparison to the existing static traffic policy.
Book ChapterDOI

Decision Making Using Simulation Methods in Sustainable Transportation

TL;DR: This chapter discusses the simulation techniques (including the Monte Carlo technique), the introduction of environmental parameters into these models, and the combination of simulation with metaheuristics—called simheuristic—to integrate several optimization aspects.

A Monte Carlo Simulation Procedure to Search for the Most-likely Optimal Offsets on Arterials Using Cycle-by-Cycle Green Usage Reports

TL;DR: This paper explored how to use the green usage information in an ATMS to design optimal offsets of coordination and considered the main-line greens random variants ranging from the programmed maximum greens to the whole cycle length to determine the most-likely optimal offsets.