Traffic flow data is a decisive element in transportation planning and traffic management.
Over time, traffic sensors have been recognized as sources of such data. Despite their …

The estimation of up-to-date origin-destination matrix (ODM) from an obsolete trip data,
using current available information is essential in transportation planning, traffic …

The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

Traffic control and management applications require the full realization of traffic flow data.
Frequently, such data are acquired by traffic sensors with two issues: it is not practicable or …

Advancements in sensing and the Internet of Things (IoT) technologies generate a huge
amount of data. Mobility on demand (MoD) service benefits from the availability of big data in …

Traffic management and control applications require comprehensive knowledge of traffic
flow data. Typically, such information is gathered using traffic sensors, which have two basic …

The problem of optimally locating sensors on a traffic network to measure flows has been
object of growing interest in the past few years, due to its relevance in transportation …

This paper deals with the problem of trip matrix and path flow reconstruction and estimation
based on plate scanning and link flow observations. To solve the problem, the following …

In this paper, we define and solve the sensor location problem (SLP), that is, we look for the
minimum number and location of counting points in order to infer all traffic flows in a …

Abstract Estimation/updating of Origin–Destination (OD) flows and other traffic state
parameters is a classical, widely adopted procedure in transport engineering, both in off-line …