Urban traffic signal control with connected and automated vehicles: A survey

Q Guo, L Li, XJ Ban - Transportation research part C: emerging …, 2019 - Elsevier
Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …

A survey of physics-based attack detection in cyber-physical systems

J Giraldo, D Urbina, A Cardenas, J Valente… - ACM Computing …, 2018 - dl.acm.org
Monitoring the “physics” of cyber-physical systems to detect attacks is a growing area of
research. In its basic form, a security monitor creates time-series models of sensor readings …

Privacy-preserving traffic flow prediction: A federated learning approach

Y Liu, JQ James, J Kang, D Niyato… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Existing traffic flow forecasting approaches by deep learning models achieve excellent
success based on a large volume of data sets gathered by governments and organizations …

Security and privacy in device-to-device (D2D) communication: A review

M Haus, M Waqas, AY Ding, Y Li… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Device-to-device (D2D) communication presents a new paradigm in mobile networking to
facilitate data exchange between physically proximate devices. The development of D2D is …

Pseudonym schemes in vehicular networks: A survey

J Petit, F Schaub, M Feiri, F Kargl - … communications surveys & …, 2014 - ieeexplore.ieee.org
Safety-critical applications in cooperative vehicular networks require authentication of nodes
and messages. Yet, privacy of individual vehicles and drivers must be maintained …

Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey

JW Kim, K Edemacu, B Jang - Journal of Network and Computer …, 2022 - Elsevier
With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

Estimating traffic volumes for signalized intersections using connected vehicle data

J Zheng, HX Liu - Transportation Research Part C: Emerging …, 2017 - Elsevier
Recently connected vehicle (CV) technology has received significant attention thanks to
active pilot deployments supported by the US Department of Transportation (USDOT). At …

Nericell: rich monitoring of road and traffic conditions using mobile smartphones

P Mohan, VN Padmanabhan, R Ramjee - … of the 6th ACM conference on …, 2008 - dl.acm.org
We consider the problem of monitoring road and traffic conditions in a city. Prior work in this
area has required the deployment of dedicated sensors on vehicles and/or on the roadside …

Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment

JC Herrera, DB Work, R Herring, XJ Ban… - … Research Part C …, 2010 - Elsevier
The growing need of the driving public for accurate traffic information has spurred the
deployment of large scale dedicated monitoring infrastructure systems, which mainly consist …

Vtrack: accurate, energy-aware road traffic delay estimation using mobile phones

A Thiagarajan, L Ravindranath, K LaCurts… - Proceedings of the 7th …, 2009 - dl.acm.org
Traffic delays and congestion are a major source of inefficiency, wasted fuel, and commuter
frustration. Measuring and localizing these delays, and routing users around them, is an …