An interdisciplinary survey on origin-destination flows modeling: Theory and techniques

C Rong, J Ding, Y Li - ACM Computing Surveys, 2024 - dl.acm.org
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

A DBSCAN-based framework to mine travel patterns from origin-destination matrices: Proof-of-concept on proxy static OD from Brisbane

KNS Behara, A Bhaskar, E Chung - Transportation Research Part C …, 2021 - Elsevier
Limited studies exist in the literature on demand related travel patterns, the analysis of which
requires a rich database of Origin Destination (OD) matrices with appropriate clustering …

A novel approach for the structural comparison of origin-destination matrices: Levenshtein distance

KNS Behara, A Bhaskar, E Chung - Transportation Research Part C …, 2020 - Elsevier
Origin-Destination (OD) matrix is a tableau of travel demand distributed between different
zonal pairs. Essentially, OD matrix provides two types of information:(a) the individual cell …

A novel methodology to assimilate sub-path flows in bi-level OD matrix estimation process

KNS Behara, A Bhaskar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Traditional bi-level origin-destination (OD) matrix estimation process adjusts the matrix (at
the upper level) based on the deviation between the observed and simulated traffic counts …

Geographical window based structural similarity index for origin-destination matrices comparison

KNS Behara, A Bhaskar, E Chung - Journal of Intelligent …, 2021 - Taylor & Francis
Most traditional metrics compare origin-destination (OD) matrices based on the deviations of
individual OD flows and often neglect OD matrix structural information within their …

Bi-level clustering of vehicle trajectories for path choice set and its nested structure identification

C Advani, A Bhaskar, MM Haque - Transportation research part C …, 2022 - Elsevier
Path choice set identification is essential for route choice modelling and travel behaviour
studies. Recent advancements in data collection techniques have gained attention towards …

Estimating link flows in road networks with synthetic trajectory data generation: Inverse reinforcement learning approach

M Zhong, J Kim, Z Zheng - IEEE Open Journal of Intelligent …, 2023 - ieeexplore.ieee.org
While traffic volume data from loop detectors have been the common data source for link
flow estimation, the detectors only cover a subset of links. These days, other data sources …

Single-level approach to estimate origin-destination matrix: exploiting turning proportions and partial OD flows

KNS Behara, A Bhaskar, E Chung - Transportation Letters, 2022 - Taylor & Francis
This research proposes a novel single-level approach to traffic counts-based OD estimation
using observed turning proportions and partial OD flows. The key idea is to relax the need …

A framework for the comparative analysis of multi-modal travel demand: Case study on brisbane network

E Hussain, KNS Behara, A Bhaskar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Comparative analysis of multimodal travel demand can help transport planners to improve
the sustainability of a transport system. This research proposes a framework to qualitatively …

Classification of typical Bluetooth OD matrices based on structural similarity of travel patterns: Case study on Brisbane city

K Behara, A Bhaskar, E Chung - Proceedings of the Annual …, 2018 - eprints.qut.edu.au
The structure of a daily Origin-Destination (OD) matrix represents the distribution of travel
patterns in terms of number of trips ending into different destinations within a region …