Delay and emissions modeling and optimal signal control strategies for signalized intersections

2011 ◽  
Author(s):  
Feng Zhu
Keyword(s):  
Control Strategies ◽  
Signalized Intersections ◽  
Signal Control ◽  
Emissions Modeling ◽  
Optimal Signal

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.

scholarly journals Improving Walkability Through Control Strategies at Signalized Intersections

2017 ◽  
Author(s):  
Sirisha Kothuri ◽  
◽  
Andrew Kading ◽  
Edward Smaglik ◽  
Christopher Sobie
Keyword(s):  
Control Strategies ◽  
Signalized Intersections

scholarly journals ESTIMATING THE EFFECTS OF PUBLIC TRANSPORT PRIORITY MEASURES AT SIGNAL CONTROLLED INTERSECTIONS

2017 ◽  
Vol 12 (3) ◽  
pp. 187-192
Author(s):  
Vytautas Dumbliauskas ◽  
Vytautas Grigonis ◽  
Jūratė Vitkienė
Keyword(s):  
Public Transport ◽  
Control Strategies ◽  
Adverse Impact ◽  
Signal Control ◽  
Simulation Environment ◽  
Graphical Programming ◽  
Traffic Delays ◽  
The World ◽  
Common Signal ◽  
Programming Interface

Most of the Lithuanian cities try to achieve public transport priority by the provision of special dedicated public transport lanes. However, the possible priority measures at signalised intersections receive less attention. This paper explains common signal control strategies applied at isolated intersections in the cities around the world and estimated their effects on the travel times of both, public transport and general traffic. The analysis employs well recognised PTV VISSIM simulation environment and VisVAP graphical programming interface to implement and test priority measures under question. The results indicate that priority actions significantly reduce public transport delays up to 60%, without high adverse impact on general traffic delays.

scholarly journals Bus control strategies in corridors with signalized intersections

2016 ◽  
Vol 71 ◽  
pp. 500-520 ◽  
Author(s):  
Miquel Estrada ◽  
Josep Mensión ◽  
Josep M. Aymamí ◽  
Laura Torres
Keyword(s):  
Control Strategies ◽  
Signalized Intersections

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.

scholarly journals A Differential Evolution Algorithm-Based Traffic Control Model for Signalized Intersections

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Ziya Cakici ◽  
Yetis Sazi Murat
Keyword(s):  
Differential Evolution ◽  
Traffic Engineering ◽  
Differential Evolution Algorithm ◽  
Control Model ◽  
Signalized Intersections ◽  
Simulation Software ◽  
Performance Criteria ◽  
Time Signal ◽  
Signal Control ◽  
Vehicle Delay

Sustainable management of traffic flows at signalized intersections is an important issue in terms of traffic engineering. The minimization of lost time, emission, fuel consumption, etc., can be achieved by optimization-based intersection management. In this study, a new traffic signal control model is developed for the management of three-leg signalized intersections. In the proposed model, signal timing and signal phasing are optimized simultaneously using Differential Evolution (DE) algorithm which is one of the population-based metaheuristic algorithms. The effectiveness of the model is tested on sample traffic scenarios with VISSIM simulation software considering average vehicle delay performance criteria. Results show that the proposed approach may reduce the average vehicle delay between the rates of 28%–42% and 3%–38% comparing to the optimum fixed-time signal control and vehicle-actuated signal control for tested scenarios, respectively.

Sign in / Sign up

Export Citation Format

Share Document