Employing vehicle communication and automated control technologies, autonomous
vehicles (AVs) can safely drive closer together than human-driven vehicles (HVs), thereby …

Traffic control optimization is a challenging task for various traffic centers around the world
and the majority of existing approaches focus only on develo** adaptive methods for …

This article proposes to solve the oversaturated network traffic signal coordination problem
using the Ant Colony Optimization (ACO) algorithm. The traffic networks used are discrete …

To prevent bus bunching, a dynamic headway control method in the V2I (vehicle to
infrastructure) environment for a high‐frequency route with bus lane is developed. Bus …

Improved bounds for sampling colorings Page 1 Improved Bounds for Sampling Colorings Eric
Vigoda * Abstract We consider the problem of sampling uniformly from the set of proper …

This" Traffic Control Systems Handbook" updates the 1985 edition (FHWA-IP-85-11; TRIS
00475445) and broadens the scope to include Intelligent Transportation Systems (ITS) …

With rapid population growth, there is an urgent need for intelligent traffic control techniques
in urban transportation networks to improve network performance. In an urban transportation …

Genetic algorithms have been shown to be effective tools for optimizations of traffic signal
timings. However, only one tool that combines Genetic Algorithms and traffic microsimulation …

This paper presents an arterial signal optimization model that features its effectiveness
on:(1) explicitly modeling physical queue evolution on arterial links by lane-group to account …

MAXBAND and MULTIBAND are two well-recognized methods for arterial signal control. In
this paper, an Asymmetrical Multi-BAND (AM-BAND) model is developed by relaxing the …