scholarly journals Optimal Signal Control Algorithm for Signalized Intersections under a V2I Communication Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Eum Han ◽  
Hwan Pil Lee ◽  
Sangmin Park ◽  
Jaehyun (Jason) So ◽  
Ilsoo Yun
Keyword(s):  
Control Algorithm ◽  
Signalized Intersections ◽  
Signal Control ◽  
Trajectory Data ◽  
Microscopic Simulation ◽  
Communication Environment ◽  
Phase Sequence ◽  
Phase Group ◽  
Vehicle To Infrastructure ◽  
Optimal Signal

This study aims to develop an optimal signal control algorithm for signalized intersections using individual vehicle’s trajectory data under the vehicle-to-infrastructure (V2I) communication environment. The optimal signal control algorithm developed in this study consists of three modules, namely, a phase group length computation module, a split distribution module, and a phase sequence assignment module. A set of analyses using a microscopic simulation model, VISSIM, was conducted for evaluating the effectiveness of the V2I-based optimal signal control algorithm proposed in this study. The analysis results show that the performance of the V2I-based optimal signal control algorithm is superior to the actuated as well as the fixed signal control methods in an isolated intersection and a 2X3 signalized intersection network. In addition, this study investigated the minimum market penetration rate of V2I equipped vehicles for which the V2I-based optimal signal control algorithm is applicable.

Application of Connected and Automated Vehicles in a Large-Scale Network by Considering Vehicle-to-Vehicle and Vehicle-to-Infrastructure Technology

2020 ◽  
pp. 036119812096310
Author(s):  
Md Hasibur Rahman ◽  
Mohamed Abdel-Aty
Keyword(s):  
Traffic Safety ◽  
Control Algorithm ◽  
Large Scale ◽  
Signal Control ◽  
Market Penetration ◽  
Automated Vehicles ◽  
Large Scale Network ◽  
Vehicle To Vehicle ◽  
Scale Network ◽  
Vehicle To Infrastructure

Application of connected and automated vehicles (CAVs) is expected to have a significant impact on traffic safety and mobility. Although several studies evaluated the effectiveness of CAVs in a small roadway segment, there is a lack of studies analyzing the impact of CAVs in a large-scale network by considering both freeways and arterials. Therefore, the objective of this study is to analyze the effectiveness of CAVs at the network level by utilizing both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication technologies. Also, the study proposed a new signal control algorithm through V2I technology to elevate the performance of CAVs at intersections. A car-following model named cooperative adaptive cruise control was utilized to approximate the driving behavior of CAVs in the Aimsun Next microsimulation environment. For the testbed, the research team selected Orlando central business district area in Florida, U.S. To this end, the impacts of CAVs were evaluated based on traffic efficiency (e.g., travel time rate [TTR], speed, and average approach delay, etc.) and safety surrogates (e.g., standard deviation of speed, real-time crash-risk models for freeways and arterials, time exposed time-to-collision). The results showed that the application of CAVs reduced TTR significantly compared with the base condition even with the low market penetration level. Also, the proposed signal control algorithm reduced the approach delay for 94% of the total intersections present in the network. Moreover, safety evaluation results showed a significant improvement of traffic safety in the freeways and arterials under CAV conditions with different market penetration rates.

scholarly journals Signal Control Method for through and Left-Turn Shared Lane by Setting Left-Turn Waiting Area at Signalized Intersections

2021 ◽  
Vol 13 (23) ◽  
pp. 13154
Author(s):  
Xiancai Jiang ◽  
Li Yao ◽  
Yao Jin ◽  
Runting Wu
Keyword(s):  
Control Method ◽  
Signalized Intersections ◽  
Signal Control ◽  
Signal Timing ◽  
Left Turn ◽  
Traffic Conflicts ◽  
Vehicle To Infrastructure ◽  
Waiting Area ◽  
Integrated Performance ◽  
Cooperation System

This paper proposes a signal control method for the through and left-turn shared lanes at signalized intersections to solve traffic conflicts between left-turn vehicles and opposing through vehicles by setting left-turn waiting area (LWA). Delays and stops are weighted to form an integrated performance index (PI) in a vehicle-to-infrastructure cooperation system. The PI models pertaining to all vehicles are established based on the LWA intersection. In addition, an optimized method of signal timing parameters is constructed by minimizing the average PI. VISSIM simulation shows that the average PI decreases by 6.51% compared with the original layout and signal timing plan of the intersection, since the increased delay of the side-road left-turn vehicles is insufficient to offset the reduced delay of the side-road through vehicles after the improvement. The sensitivity analysis shows that the greater the traffic volume of the phase including the through and left-turn shared lanes, the higher the operation efficiency of the LWA intersection compared with the typical permitted phase intersection. When the left-turn vehicles of the shared lanes in each cycle are less than the stop spaces, the LWA intersection can effectively reduce the average PI of the shared lanes. Furthermore, the more the stop spaces in the LWA, the lower the average PI in the same traffic conditions.

A Simulation Study on Max Pressure Control of Signalized Intersections

2018 ◽  
Vol 2672 (18) ◽  
pp. 117-127 ◽  
Author(s):  
Xiaotong Sun ◽  
Yafeng Yin
Keyword(s):  
Simulation Study ◽  
Control Strategy ◽  
Network Performance ◽  
Pressure Control ◽  
Local Information ◽  
Signalized Intersections ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Distributed Approach ◽  
Cyclic Approach

In this paper, a decentralized traffic signal control strategy named max pressure control is reviewed and examined. This control strategy aims at optimizing overall network throughputs, but applies a distributed approach that only requires local information to generate timing plans for each intersection. A Vissim simulation study is conducted to compare existing max pressure schemes. The results show that a recently proposed cyclic-based approach performs more poorly than the original non-cyclic approach. Further, to address two issues that hinder existing schemes: frequent changes of phase and queue spillover/blockage, two modifications are suggested. The simulation reveals that network performance can be improved after modifications.

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