[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights

J Xing, W Wu, Q Cheng, R Liu - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …

Origin-destination pattern estimation based on trajectory reconstruction using automatic license plate recognition data

W Rao, YJ Wu, J Xia, J Ou, R Kluger - Transportation Research Part C …, 2018 - Elsevier
Origin-destination (OD) pattern estimation is a vital step for traffic simulation applications and
active urban traffic management. Many methods have been proposed to estimate OD …

Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation

C Antoniou, J Barceló, M Breen, M Bullejos… - … Research Part C …, 2016 - Elsevier
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 …

Dynamic origin-destination demand estimation using automatic vehicle identification data

X Zhou, HS Mahmassani - IEEE Transactions on intelligent …, 2006 - ieeexplore.ieee.org
This paper proposes a dynamic origin-destination (OD) estimation method to extract
valuable point-to-point split-fraction information from automatic vehicle identification (AVI) …

Dynamic demand estimation and prediction for traffic urban networks adopting new data sources

S Carrese, E Cipriani, L Mannini, M Nigro - Transportation Research Part C …, 2017 - Elsevier
Nowadays, new mobility information can be derived from advanced traffic surveillance
systems that collect updated traffic measurements, both in fixed locations and over specific …

Origin‐destination estimation using probe vehicle trajectory and link counts

X Yang, Y Lu, W Hao - Journal of Advanced Transportation, 2017 - Wiley Online Library
This paper presents two origin‐destination flow estimation models using sampled GPS
positions of probe vehicles and link flow counts. The first model, named as SPP model …

Day-to-day dynamic origin–destination flow estimation using connected vehicle trajectories and automatic vehicle identification data

Y Cao, K Tang, J Sun, Y Ji - Transportation Research Part C: Emerging …, 2021 - Elsevier
Dynamic vehicular origin–destination (OD) flow is a fundamental component of traffic
network modeling and its estimation has long been studied. Although ideal observing …

An information-theoretic sensor location model for traffic origin-destination demand estimation applications

X Zhou, GF List - Transportation Science, 2010 - pubsonline.informs.org
To design a transportation sensor network, the decision maker needs to determine what
sensor investments should be made, as well as when, how, where, and with what …

From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration

M Forghani, F Karimipour, C Claramunt - Transportation Research Part C …, 2020 - Elsevier
The recent years have witnessed a greater demand for understanding how people move in
urban environments. Due to the widespread usage of mobile phones, there have been …

Dynamic origin–destination flow estimation using cellular communication system

K Sohn, D Kim - IEEE Transactions on Vehicular Technology, 2008 - ieeexplore.ieee.org
This paper aims to develop a new approach for the estimation of dynamic origin-destination
(OD) flow using cell phones as traffic probes. The state-space model, which depends on the …