Connected Vehicle System Design for Signalized Arterials

Xianfeng Yang, University of Utah

Co-investigator:

Summary:

It can be expected that connected vehicles (CVs) will soon go beyond testbed and appear on real-world road networks. Through the vehicle-to-infrastructure communication channels, much more enriched data, e.g., the trajectories of CVs, will be available to operate more efficient and responsive traffic control modules. Many existing studies also showed the effectiveness of CV-based transportation systems could be improved with the increase of CV penetration rates.  Hence, to accommodate a large number of connected vehicles on the roads, traffic signal control on signalized arterials would require supports of various components such as roadside CV infrastructures, vehicle on-board devices, effective communication network, and optimal control algorithms. In this project, we aim to establish a real-time and adaptive system for supporting the operations of CV-based traffic signal control functions. The proposed system will best utilize the capacity of the communication channels with optimization functions. The CV data sensing and acquisition protocol, built on Age of Information (AoI) as a function of the system overall latency and communication load, will support the feedback control loop to adjust signal timing plans. 

Our multidisciplinary research team, including researchers from transportation engineering and electrical engineering, carry out the project tasks along four directions that capitalized on the PIs’ expertise: (i) Data collection and communication, in which the proposed system is based on the AoI and optimize the communication network; (ii) Dynamic traffic signal coordination, which will concurrently facilitate the progression of traffic flows along multiple critical paths;  (iii) Smart traffic signal control, where both operational efficiency and safety improvement are accounted at signalized intersections; and (iv) Multimodal system design, which will integrate Transit Signal Priority (TSP) and suppression controls for accommodating connected buses. This project addresses the urgent needs in CV system designs and offers control foundations to support the operations of urban signalized arterial under CV environment.

Impacts:

1. This research will design new communication and networking protocols to maximize the freshness of information such that the estimation and control accuracy in connected vehicular networks.
2. This research will offer an innovative way of developing a traffic signal control system that can concurrently improve safety and operational efficiency.
3. This research will provide dynamic signal progression control to facilitate the movement of connected vehicles along various critical paths.

Project Details

Project Type:
Research
Project Status:
In Progress
End Date:
November 30,2019
UTC Grant Cycle:
NITC 16 Round 2
UTC Funding:
$89,513

Other Products

  • Dynamic Multi-path Signal Progression Control based on Connected Vehicle Technology (PRESENTATION)
  • Multi-vehicle Trajectories Design During Cooperative Adaptive Cruise Control (CACC) Platoon Formation (PRESENTATION)
  • Smart Signal Control System for Accident Prevention and Arterial Speed Harmonization under Connected Vehicle Environment (PRESENTATION)
  • Real-time Signal Control for Bus Rapid Transit with Connected Vehicle Technology (PRESENTATION)