Observability and controllability are two critical requirements for a partially observable
transportation system. This paper proposes a stepwise signal optimization framework with …

This paper presents an innovative method to adaptively optimize traffic signal plans based
on the estimation of traffic situation achieved from the information of various penetration …

This paper presents two algorithms to estimate traffic state in urban street networks with a
mixed traffic stream of connected and unconnected vehicles and incorporates them in a real …

Connected vehicles (CVs) can considerably contribute to traffic control in the near future by
providing real-time information. Such information can be exploited to identify the current …

Mixed traffic flows are opening up new areas for research and are seen as key drivers in the
field of data and services that will make roads safer and more environmentally friendly …

Most of the existing connected vehicle (CV)-based traffic control models require a critical
penetration rate. If the critical penetration rate cannot be reached, then data from traditional …

We present a macroscopic model-based approach for the estimation of the total density and
flow of vehicles, for the case of “mixed” traffic, ie, traffic comprising both ordinary and …

This paper presents a thorough microscopic simulation investigation of a recently proposed
methodology for highway traffic estimation with mixed traffic, ie, traffic comprising both …

Real‐time traffic state estimation is of importance for efficient traffic management. This is
especially the case for traffic management systems that require fast detection of changes in …

Vehicular sensor network (VSN) is an emerging technology, which combines wireless
communication offered by vehicular ad hoc networks (VANETs) with sensing devices …