Tools for modeling and control of freeway networks by Ajith Muralidharan Doctor of Philosophy in Engineering Mechanical Engineering University of California, Berkeley Professor Roberto Horowitz, Chair This dissertation presents algorithmic tools that are useful to transportation engineers for freeway traffic modeling and control. A modeling framework that utilizes the link-node cell transmissio...

This paper considers the engineer’s, economist’s, manager’s, and planner’s perspectives on transportation efficiency respectively. This paper examines the measures used in each perspective and weighs their advantages and disadvantages for various purposes. It illustrates each measure with an example drawn from the case of the Twin Cities ramp metering shut off. The first section summarizes vari...

In this paper we present an integrated traffic management and control approach for Intelligent Vehicle Highway Systems (IVHS). These IVHS consist of interacting roadside controllers and intelligent vehicles that are organized in platoons with short intraplatoon distances, and larger distances between platoons. All vehicles are assumed to be fully automated, i.e., throttle, braking, and steering...

This paper presents a departure-time user equilibrium model that explicitly considers the most important determinants of congestion behavior in cities during the morning commute: different commuter origins, merge interactions and queue spillovers. The proposed model combines three previous works: the departure-time equilibrium theory in Vickrey (1969), the traffic flow model of Newell (1993) an...

Congestion on motorways is a serious problem of modern societies. It reduces the nominal capacity of the motorway infrastructure, with serious impact on travel times, traffic safety, fuel consumption and environmental pollution. Various traffic management measures have been proposed to alleviate traffic congestion but are known to face limitations. An integrated motorway traffic flow control co...