Mitsubishi Electric Research Laboratories, Inc. (20240331535). Hierarchical Optimization-based Coordinated Control of Traffic Rules and Mixed Traffic in Multi-Intersection Environments simplified abstract
Hierarchical Optimization-based Coordinated Control of Traffic Rules and Mixed Traffic in Multi-Intersection Environments
Organization Name
Mitsubishi Electric Research Laboratories, Inc.
Inventor(s)
Rien Quirynen of Cambridge MA (US)
Nilesh Suriyarachchi of College Park MD (US)
Stefano Di Cairano of Cambridge MA (US)
Hierarchical Optimization-based Coordinated Control of Traffic Rules and Mixed Traffic in Multi-Intersection Environments - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331535 titled 'Hierarchical Optimization-based Coordinated Control of Traffic Rules and Mixed Traffic in Multi-Intersection Environments
The present disclosure introduces a system and method for jointly controlling connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) as they navigate multiple intersections on a road, while adhering to integer constraints.
- The method involves collecting digital data on the states of CAVs, HDVs, and traffic signs.
- An optimization problem is solved by a centralized traffic controller (CTC) to optimize traffic flows based on a macroscopic traffic flow model.
- A multi-variable mixed-integer programming (MIP) problem is solved by intersection traffic controllers (ITCs) to minimize tracking errors in traffic flow values.
- The control commands are then transmitted to the CAVs and traffic signs based on the optimized values.
- Key Features and Innovation:**
- Integration of CAVs and HDVs control under integer constraints.
- Centralized and decentralized optimization of traffic flows.
- Minimization of tracking errors in traffic flow values.
- Potential Applications:**
- Urban traffic management systems.
- Autonomous vehicle control systems.
- Traffic flow optimization in smart cities.
- Problems Solved:**
- Efficient coordination of CAVs and HDVs at intersections.
- Optimization of traffic flows while considering integer constraints.
- Minimization of tracking errors in traffic flow values.
- Benefits:**
- Improved traffic flow efficiency.
- Enhanced intersection safety.
- Reduced congestion and travel times.
- Commercial Applications:**
Traffic management companies can utilize this technology to optimize traffic flow in urban areas, leading to improved efficiency and reduced congestion, ultimately benefiting both commuters and businesses.
- Questions about the Technology:**
1. How does this technology address the challenges of coordinating CAVs and HDVs at intersections? 2. What are the potential implications of using this system in large metropolitan areas?
Original Abstract Submitted
the present disclosure provides a system and a method for jointly controlling one or multiple connected and automated vehicles (cavs) and one or multiple human-driven vehicles (hdvs) subject to integer constraints for crossing each of multiple intersections on a road. the method comprises collecting digital representation of states of each of the cavs, hdvs, and traffic signs, solving an optimization problem jointly optimizing traffic flows based on a macroscopic traffic flow model in a centralized traffic controller (ctc) subject to convex relaxation of the integer constraints, solving a multi-variable mixed-integer programming (mip) problem in each of multiple intersection traffic controllers (itcs) optimizing a cost function and minimizing tracking errors in traffic flow values of a microscopic traffic flow model with respect to relaxed traffic flow values from the ctc, and transmitting the optimized values of the control commands to the corresponding cavs and corresponding traffic signs.
