PFS method for pedestrian origin-destination surveys of enclosed areas

Estimation of Pedestrian Origin-Destination Demand in Train Stations

Compressive Origin-Destination Estimation

The paper presents an approach to estimate OriginDestination (OD) flows and their path splits, based on traffic counts on links in the network. The approach called Compressive Origin-Destination Estimation (CODE) is inspired by Compressive Sensing (CS) techniques. Even though the estimation problem is underdetermined, CODE recovers the unknown variables exactly when the number of alternative pa...

Design principles for origin-destination flow maps

Origin-destination flow maps are often difficult to read due to overlapping flows. Cartographers have developed design principles in manual cartography for origin-destination flow maps to reduce overlaps and increase readability. These design principles are identified and documented using a quantitative content analysis of 97 geographic origin-destination flow maps without branching or merging ...

Compressive Origin-Destination Matrix Estimation

The paper presents an approach to estimate OriginDestination (OD) flows and their path splits, based on traffic counts on links in the network. The approach called Compressive Origin-Destination Estimation (CODE) is inspired by Compressive Sensing (CS) techniques. Even though the estimation problem is underdetermined, CODE recovers the unknown variables exactly when the number of alternative pa...

A Least Squares Method for Origin-destination Estimation Incorporating Variability of Day-to-day Travel Demand

The estimation of an origin-destination (O-D) trip matrix from observed link flow is an essential part of the 4-step transport planning process. Conventional methods for estimating O-D trip matrices usually consider the fluctuation of link flows observed from loop counts as an error term that can be ignored, resulting in a significant loss of information. This work, instead, explicitly consider...