Highway Traffic Control with Moving Bottlenecks of Connected and Automated Vehicles for Travel Time Reduction
- Resource Type
- Conference
- Authors
- Piacentini, G.; Ferrara, A.; Papamichail, I.; Papageorgiou, M.
- Source
- 2019 IEEE 58th Conference on Decision and Control (CDC) Decision and Control (CDC), 2019 IEEE 58th Conference on. :3140-3145 Dec, 2019
- Subject
- Aerospace
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Road transportation
Computational modeling
Vehicles
Standards
Fuels
Mathematical model
Discharges (electric)
- Language
- ISSN
- 2576-2370
The advancements in automotive industry in vehicles communication and automation can be efficiently exploited to introduce new traffic control and management methods. In this paper, a version of the Cell Transmission Model (CTM) incorporating the capacity drop phenomenon is used to model a human-driven vehicles traffic flow where vehicles equipped with Vehicles Automation and Communication Systems (VACS) are present. Connected and Automated Vehicle (CAV) are modeled as moving bottlenecks impacting on the surrounding traffic by reducing the free-flow speed of the overall traffic flow at their location. The speeds of the moving bottlenecks are assumed as control variables and a Model Predictive Control (MPC) approach is used in order to minimize travel times along the highway. The approach is assessed in simulations using a realistic case study.