Combining map-based inference and crowd-sensing for detecting traffic regulators

F Saremi, T Abdelzaher - … conference on mobile ad hoc and …, 2015 - ieeexplore.ieee.org
Intelligent transportation systems serve as important technologies to improve traffic safety,
mobility, cost and environmental sustainability. Towards that end, a variety of applications …

Network-wide traffic states imputation using self-interested coalitional learning

H Qin, X Zhan, Y Li, X Yang, Y Zheng - Proceedings of the 27th ACM …, 2021 - dl.acm.org
Accurate network-wide traffic state estimation is vital to many transportation operations and
urban applications. However, existing methods often suffer from the scalability issue when …

Estimation of hourly link population and flow directions from mobile CDR

KK Lwin, Y Sekimoto, W Takeuchi - ISPRS international journal of geo …, 2018 - mdpi.com
The rise in big data applications in urban planning and transport management is now
widening and becoming a part of local government decision-making processes …

Enhancing traffic congestion estimation with social media by coupled hidden Markov model

S Wang, F Li, L Stenneth, PS Yu - … , ECML PKDD 2016, Riva del Garda …, 2016 - Springer
Estimating traffic conditions in arterial networks with GPS probe data is a practically
important while substantially challenging problem. With the increasing availability of GPS …

Measuring traffic in cities through a large-scale online platform

V Verendel, S Yeh - Journal of Big Data Analytics in Transportation, 2019 - Springer
Online real-time traffic data services could effectively deliver traffic information to people all
over the world and provide large benefits to the society and research about cities. Yet, city …

An ensemble model for short-term traffic prediction in smart city transportation system

G Zheng, WK Chai, V Katos - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Smart city visions aim to offer citizens with intelligent services in various aspects of life. The
services envisioned have been significantly enhanced with the proliferation of Internet-of …

Second-order models and traffic data from mobile sensors

B Piccoli, K Han, TL Friesz, T Yao, J Tang - Transportation Research Part C …, 2015 - Elsevier
Mobile sensing enabled by GPS or smart phones has become an increasingly important
source of traffic data. For sufficient coverage of the traffic stream, it is important to maintain a …

Inferring fine-grained transport modes from mobile phone cellular signaling data

K Chin, H Huang, C Horn, I Kasanicky… - … , Environment and Urban …, 2019 - Elsevier
Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

Road traffic anomaly detection via collaborative path inference from GPS snippets

H Wang, H Wen, F Yi, H Zhu, L Sun - Sensors, 2017 - mdpi.com
Road traffic anomaly denotes a road segment that is anomalous in terms of traffic flow of
vehicles. Detecting road traffic anomalies from GPS (Global Position System) snippets data …

The path most travelled: mining road usage patterns from massive call data

JL Toole, S Colak, F Alhasoun, A Evsukoff… - arXiv preprint arXiv …, 2014 - arxiv.org
Rapid urbanization places increasing stress on already burdened transportation systems,
resulting in delays and poor levels of service. Billions of spatiotemporal call detail records …