Developing a Neural–Kalman Filtering Approach for Estimating Traffic Stream Density Using Probe Vehicle Data

A Novel Decentralized Game-Theoretic Adaptive Traffic Signal Controller: Large-Scale Testing

(2019) Hossam M. Abdelghaffar et al.   SENSORS

Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study

(2018) Przemysław Sekuła et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real-Time Traffic State Estimation With Connected Vehicles

(2017) Sakib Mahmud Khan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Artificial Neural Network–Based Traffic State Estimation Using Erroneous Automated Sensor Data

(2017) Shrikant Fulari et al.   Journal of Transportation Engineering Part A-Systems

Real-Time Traffic Density Estimation without Reliable Side Road Data

(2015) T. Ajitha et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Data Fusion-Based Traffic Density Estimation and Prediction

(2013) Asha Anand et al.   Journal of Intelligent Transportation Systems

Modeling the capacity drop phenomenon at freeway bottlenecks using the INTEGRATION software

(2012) Edward Chamberlayne et al.   Transportation Letters-The International Journal of Transportation Research

Kalman Filter Approach to Speed Estimation Using Single Loop Detector Measurements under Congested Conditions

(2009) Jianhua Guo et al.   JOURNAL OF TRANSPORTATION ENGINEERING

Real-time estimation of vehicle-count within signalized links

(2007) Georgios Vigos et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES