Multi-Commodity Traffic Signal Control and Routing With Connected Vehicles

Model and Solution Approach for Multi objective-multi commodity Capacitated Arc Routing Problem with Fuzzy Demand

The capacitated arc routing problem (CARP) is one of the most important routing problems with many applications in real world situations. In some real applications such as urban waste collection and etc., decision makers have to consider more than one objective and investigate the problem under uncertain situations where required edges have demand for more than one type of commodity. So, in thi...

Multi-Commodity Connected Facility Location

In this paper we define the multi-commodity connected facility location (MCFL) problem, a natural generalization of the well-known multi-commodity rent-or-buy (MROB) and connected facility location (CFL) network design problems. Like in MROB, we wish to send one unit of flow from a set of sources to a set of sinks. This flow is supported by renting or buying edges. For each bought edge e, we pa...

Integration of predictive routing information with dynamic traffic signal control

Back-pressure traffic signal control with unknown routing rates

The control of a network of signalized intersections is considered. Previous works proposed a feedback control belonging to the family of the so-called back-pressure controls that ensures provably maximum stability given pre-specified routing probabilities. However, this optimal back-pressure controller (BP*) requires routing rates and a measure of the number of vehicles queuing at a node for e...

Convex Multi-commodity Flow Routing

There are many problems related to the design of networks and accommodate demands from different users subject to some constraints on users’ quality of service (QoS) and fairness through the network. The problem of resource allocation and message routing plays a determinant role in the optimization of networks performance. Our work emphasizes the message routing problem in data networks, but it...