Estimating Freeway Traffic Volume Using Shockwaves and Probe Vehicle Trajectory Data

Author:

Anuar Khairul,Cetin Mecit

Publisher

Elsevier BV

Reference26 articles.

1. Cycle-by-Cycle Queue Length Estimation for Signalized Intersections Using Sampled Trajectory Data;Anderson;Transportation Research Record: Journal of the Transportation Research Board,2011

2. Anuar, K., Habtemichael, F., & Cetin, M. (2015). Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram. Paper presented at the Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on.

3. Real time queue length estimation for signalized intersections using travel times from mobile sensors;Ban;Transportation Research Part C: Emerging Technologies,2011

4. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel;Bar-Gera;Transportation Research Part C: Emerging Technologies,2007

5. Shock Wave Approach for Estimating Queue Length at Signalized Intersections by Fusing Data from Point and Mobile Sensors;Cai;Transportation Research Record: Journal of the Transportation Research Board,2014

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1. Kinetic analysis and numerical tests of an adaptive car-following model for real-time traffic in ITS;Physica A: Statistical Mechanics and its Applications;2024-02

2. Vehicle Trajectory Reconstruction Incorporating Probe and Fixed Sensor Data;Journal of Transportation Engineering, Part A: Systems;2023-09

3. Inferring the number of vehicles between trajectory-observed vehicles;Journal of Intelligent Transportation Systems;2023-07-12

4. Big-Data Driven Framework to Estimate Vehicle Volume Based on Mobile Device Location Data;Transportation Research Record: Journal of the Transportation Research Board;2023-06-15

5. A streaming-data-driven method for freeway traffic state estimation using probe vehicle trajectory data;Physica A: Statistical Mechanics and its Applications;2022-11

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