Vehicle trajectory reconstruction for signalized intersections with low‐frequency floating car data

H Wang, C Gu, WY Ochieng - Journal of Advanced …, 2019 - Wiley Online Library
Floating car data are beneficial in estimating traffic conditions in wide areas and are playing
an increasing role in traffic surveillance. However, widespread application is limited by low …

Urban road travel speed estimation based on low sampling floating car data

Y Yue, HX Zou, QQ Li - ICCTP 2009: Critical Issues In …, 2009 - ascelibrary.org
Using traffic data collected by floating car is a feasible way to determine road network traffic
conditions. But conventional travel speed estimation from high sampling floating car data …

Vehicle trajectory based control delay estimation at intersections using low-frequency floating car sampling data

H Wang, C Gu - Transport, 2020 - jest.vgtu.lt
Control delay is an important parameter that is used in the optimization of traffic signal
timings and the estimation of the level of service at signalized intersection. However, it is …

Improving the accuracy of real-time traffic data gathered by the floating car data method

FY Chandra, G Glann, FE Gunawan… - … on Information and …, 2014 - ieeexplore.ieee.org
Despite the concern of privacy, the method of Floating Car Data (FCD) is clearly one of the
cheapest methods to provide real-time or near real-time traffic information. The method has …

[PDF][PDF] Estimation of traffic signal timing data and total delay for urban intersections based on low-frequency floating car data

S Axer, F Pascucci, B Friedrich - Proceedings of the 6th mobility …, 2015 - researchgate.net
Traffic engineers are looking with increasing attention to the use of Floating Car Data (FCD)
as a complement data source to stationary traffic monitoring technologies like loop detectors …

An Unscented Kalman Filter‐Based Method for Reconstructing Vehicle Trajectories at Signalized Intersections

J Mu, Y Han, C Zhang, J Yao… - Journal of advanced …, 2021 - Wiley Online Library
On‐board data of detected vehicles play a critical role in the management of urban road
traffic operation and the estimation of traffic status. Unfortunately, due to limitations of …

Reconstructing maximum likelihood trajectory of probe vehicles between sparse updates

N Wan, A Vahidi, A Luckow - Transportation Research Part C: Emerging …, 2016 - Elsevier
Data from connected probe vehicles can be critical in estimating road traffic conditions.
Unfortunately, current available data is usually sparse due to the low reporting frequency …

Estimation of travel time distributions in urban road networks using low-frequency floating car data

C Shi, BY Chen, Q Li - ISPRS International Journal of Geo-Information, 2017 - mdpi.com
Travel times in urban road networks are highly stochastic. However, most existing travel time
estimation methods only estimate the mean travel times, while ignoring travel time …

Real-time turning rate estimation in urban networks using floating car data

O Mousavizadeh, M Keyvan-Ekbatani… - … research part C: emerging …, 2021 - Elsevier
Real-time information about the dynamic variation of turning rates at intersections is
essential for achieving a more efficient traffic control and management system. Limitations in …

Road centreline and lane reconstruction from pervasive GPS tracking on motorways

MA Arman, CMJ Tampère - Procedia Computer Science, 2020 - Elsevier
A lane-based Routable Digital Map is a basis for construction of a floating-car dataset for
lane-based traffic analysis. We proposed an algorithm that is capable of identifying lanes in …