• Nagula Kalyani
• V. Arun
• SVS Prasad

The goal of this project is to develop advanced signal control strategies for mobility, safety, and environment based on connected vehicle data, i.e., real-time information on vehicles’ location, speed and characteristics as well as communication to the signal control infrastructure. This document is the final report for the project. It describes the findings from the literature review on existing adaptive signal control systems, their features and operational experiences from their implementation. Several performance measures are proposed for evaluating signal control algorithms, and procedures for estimating the performance measures from connected vehicle data were developed using statistical techniques and kinematic wave theory. We developed and tested through simulation a number of control strategies to improve mobility: queue spillback avoidance, control for congested networks, and dynamic lane allocation. The results indicate that the proposed strategies improve the traffic performance. We also developed strategies for improving intersection safety with emphasis on avoidance of red light running (RLR) related collisions. A prototype in-vehicle driver speed advisory system for minimum fuel consumption and emissions was also developed. Field tests show that the prototype system achieved significant fuel savings. In addition, when an ambulance approaching the junction, it will communicate the traffic controller in the junction to turn on the green light. This module uses Zigbee modules on CC2500.

Traffic signals, adaptive control, connected vehicles, mathematical models

"ADVANCED TRAFFIC SIGNAL CONTROL ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.1015-1021, March-2020, Available :http://www.jetir.org/papers/JETIR2003149.pdf

"ADVANCED TRAFFIC SIGNAL CONTROL ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1015-1021, March-2020, Available at : http://www.jetir.org/papers/JETIR2003149.pdf