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

Han, Eum; Lee, Hwan Pil; Park, Sang Min; So, Jaehyun; Yun, Ilsoo

doi:10.1155/2019/6039741

Cited by 12 publications

(10 citation statements)

References 10 publications

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“…The condition in equation (10) will only apply if the number of iterations in the GA algorithm is the same for each SP and Pop to enable same number of vehicles to pass on each road as a function of TP. This condition is valid for stable GA algorithm.…”

Section: Analysis and Discussionmentioning

confidence: 99%

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Optimizing Genetic Algorithm Performance for Effective Traffic Lights Control using Balancing Technique (GABT)

Iskandarani¹

2020

IJACSA

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Genetic Algorithm (GA) is implemented and simulation tested for the purpose of adaptable traffic lights management at four roads-intersection. The employed GA uses hybrid Boltzmann Selection (BS) and Roulette Wheel Selection techniques (BS-RWS). Selection Pressure (SP) and Population (Pop) parameters are used to tune and balance the designed GA to obtain optimized and correct control of passing vehicles. A very successful implementation of such parameters resulted in obtaining minimum number of Iterations (IRN) for a wide spectrum of SP and Pop. The algorithm is mathematically modeled and analyzed and a proof is obtained regarding the condition for balanced GA. Such Balanced GA is most useful in traffic management for an optimized Intelligent Transportation Systems, as it requires minimum iterations for convergence with faster dynamic controlling time.

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Section: Analysis and Discussionmentioning

confidence: 99%

“…Such a critical solutions will carry out functional synchronization between traffic signals, in order to achieve a measurable reduction in congestion and delay levels, in addition to less pollution and safer driver and pedestrian roads. Such an objective can be achieved using genetic algorithm (GA) [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Genetic Algorithm Performance for Effective Traffic Lights Control using Balancing Technique (GABT)

Iskandarani¹

2020

IJACSA

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“…Lyamin et al proposed a data-mining-based method for V2V communications by random and On-off models [26]. Han et al proposed an optimal signal control algorithm for signalized intersections using individual vehicle's trajectory data based on V2I communication [30]. Jia et al verified that autonomous vehicles have significantly improvements on traffic efficiency via V2V and V2I communications [31].…”

Section: Data Analysis For Automaticmentioning

confidence: 99%

“…Now, we calculate the movements. Based on Formulas (7), (12), (21), the vehicle movement ⇀ 1 2 under Direct Solution, Original Model, MDE Model can be calculated respectively by Formulas (29), (30), (31).…”

Section: Derivation Process Of Tablementioning

confidence: 99%

Vehicle Movement Analyses Considering Altitude Based on Modified Digital Elevation Model and Spherical Bilinear Interpolation Model: Evidence from GPS-Equipped Taxi Data in Sanya, Zhengzhou, and Liaoyang

Gui

2020

Journal of Advanced Transportation

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Aggravating energy shortages and increasing labor costs have become global problems and have garnered special importance in recent years in the transportation sector, especially in taxi markets. Automatic vehicles have a bright future, however, there is an equal amount of skepticism and concern about safety for all the optimism. To unlock the potential of automatic vehicles in intelligent transportation systems, a lot more data and testing are required to promote safety level as far as possible and achieve the organizational aim of reducing accidents to zero tolerance. And it is vital to provide accurate models for vehicle movement analyses. In this study, Modified Digital Elevation (MDE) model and Spherical Bilinear Interpolation (SBI) model were proposed for vehicle movement analyses considering altitude. And the experimental data of 9,990 GPS-enabled taxis in Sanya, Zhengzhou, and Liaoyang were adopted to support comparisons. Measurement results showed that MDE model had over 99% less disparity with direct solution than original model and SBI model could further improve the effects. It indicated that the application of MDE model and SBI model could improve both accuracy and efficiency of vehicle movement analyses and it had a bright future in the field of automatic vehicles. Future directions could be improving models and expanding data.

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“…A coordinated signal control system for urban ring roads under a vehicle-infrastructure connected environment was proposed and tested using a VISSIM simulation model to improve the average delay, number of stops, and queue length compared with a conventional traffic control system [52]. An optimal signal control algorithm using individual vehicle trajectory data under a V2I communication environment was developed and evaluated, showing superior performance to the actuated as well as fixed-signal control methods in an isolated intersection and a 2 × 3 signalized intersection network [53]. A new method for estimating the speed and position of non-connected vehicles at low CV penetration rates along a signalized intersection was developed and applied to the signal control strategy, and simulations in VISSIM showed the estimation accuracy to be higher for the intersection with fewer lanes [54].…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Left-Turn Signal Control Method for Improving Intersection Capacity in a Connected Vehicle Environment

et al. 2019

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Setting up an exclusive left-turn lane and corresponding signal phase for intersection traffic safety and efficiency will decrease the capacity of the intersection when there are less or no left-turn movements. This is especially true during rush hours because of the ineffective use of left-turn lane space and signal phase duration. With the advantages of vehicle-to-infrastructure (V2I) communication, a novel intersection signal control model is proposed which sets up variable lane direction arrow marking and turns the left-turn lane into a controllable shared lane for left-turn and through movements. The new intersection signal control model and its control strategy are presented and simulated using field data. After comparison with two other intersection control models and control strategies, the new model is validated to improve the intersection capacity in rush hours. Besides, variable lane lines and the corresponding control method are designed and combined with the left-turn waiting area to overcome the shortcomings of the proposed intersection signal control model and control strategy.

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

Cited by 12 publications

References 10 publications

Optimizing Genetic Algorithm Performance for Effective Traffic Lights Control using Balancing Technique (GABT)

Optimizing Genetic Algorithm Performance for Effective Traffic Lights Control using Balancing Technique (GABT)

Vehicle Movement Analyses Considering Altitude Based on Modified Digital Elevation Model and Spherical Bilinear Interpolation Model: Evidence from GPS-Equipped Taxi Data in Sanya, Zhengzhou, and Liaoyang

A Novel Left-Turn Signal Control Method for Improving Intersection Capacity in a Connected Vehicle Environment

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