Type-2 fuzzy logic based transit priority strategy

Stevanovic, Aleksandar; Teodorović, Dušan

doi:10.1016/j.eswa.2021.115875

Cited by 9 publications

(2 citation statements)

References 57 publications

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“…Another ATSP strategy was proposed by Zhang et al taking advantage of V2I communications to improve the PT vehicle travel time prediction and subsequently passenger delay [29]. Regarding the novel solution methods, fuzzy logic [30,31], Q-learning [32], deep reinforcement learning [33,34], and metaheuristics [25,29,35,36] are among the methods used in the ATSP strategies to empower the optimization process. The maximization of passenger throughput has been also targeted in some of the ATSP strategies showing superior performance compared to the delay-based strategies, especially at high congestion levels [37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Passenger‐based adaptive transit signal priority for BRT systems with multiple loading areas

Behbahani,

Poorjafari

2024

IET Intelligent Trans Sys

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An adaptive transit signal priority strategy is presented in this paper with the objective of passenger delay minimization at isolated intersections serving conflicting bus rapid transit (BRT) routes. The proposed passenger‐based adaptive signal priority for BRT systems (PASPB) is designed to optimize both green times and phase sequences at the start of each cycle and for a prespecified decision horizon. Since a public transportation (PT) vehicle travel time model capable of estimating the dwell time at stops with multiple loading areas has not yet been developed, PT vehicle dwell time is modeled in this study by analyzing the cases of passenger service by single or double PT vehicles. The problem is formulated as a mixed‐integer nonlinear program (MINLP) and at each execution, the optimization is conducted by genetic algorithm. The model is deployed to a real‐field intersection with conflicting BRT routes under the SUMO microsimulation environment. The results show that PASPB outperforms the SYNCHRO optimal solution and phase insertion strategy regarding PT passenger delay. Besides, the sensitivity analysis proves that at high demand levels of the PT system or general traffic, PASPB presents the best performance in terms of general traffic, PT, and total passenger delay compared to other models.

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Section: Introductionmentioning

confidence: 99%

Passenger‐based adaptive transit signal priority for BRT systems with multiple loading areas

Behbahani,

Poorjafari

2024

IET Intelligent Trans Sys

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“…A multiobjective passenger-based ATSP was proposed by Alam and Hawas aiming to optimize two conflicting performance measures of PT vehicle throughput and passenger travel time [31]. Using fuzzy logic, a passenger-based ATSP strategy was designed by Javonovic and Teodorovic capable of deciding on the extension or truncation of phases [32]. Deep reinforcement learning is another efficient method used by Long et al in passenger-based strategies to minimize passenger delay [33].…”

Section: Introductionmentioning

confidence: 99%

Proposing a kinematic wave‐based adaptive transit signal priority control using genetic algorithm

Behbahani

Poorjafari

2022

IET Intelligent Trans Sys

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This paper proposes a kinematic wave‐based adaptive transit signal priority control (KATC) aiming to minimize average passenger delay at intersection level. The passenger delay minimization problem is formulated as a mixed‐integer non‐linear program (MINLP) with two decision variables of green time and phase sequence. The adoption of the phase sequence in the optimization and not involving the common simplifying assumptions in the delay models are the main contributions of the current study. General traffic and public transportation (PT) vehicle delay are estimated using kinematic wave theory. Genetic algorithm is utilized to solve the MINLP problem at 1‐cycle intervals and for a decision horizon of 3 consecutive cycles. The performance of KATC is evaluated against SYNCHRO and the KATC model without phase sequence optimization, using VISSIM. The results of the experiments indicate superior performance of KATC over the two other models in terms of both average passenger delay and PT passenger delay, especially at low congestion levels. Furthermore, increasing PT passenger occupancy can effectively contribute to higher passenger delay improvements. The adverse impacts on passenger vehicles are restricted to a 3.4% and 2.7% increase in general traffic delay compared to SYNCHRO and the KATC model without phase sequence optimization, respectively.

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Interval Type-3 Fuzzy Parameter Adaptation in Harmony Search Optimal Controller Design

Castillo,

Melin

2023

SpringerBriefs in Applied Sciences and Technology

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Type-2 fuzzy logic based transit priority strategy

Cited by 9 publications

References 57 publications

Passenger‐based adaptive transit signal priority for BRT systems with multiple loading areas

Passenger‐based adaptive transit signal priority for BRT systems with multiple loading areas

Proposing a kinematic wave‐based adaptive transit signal priority control using genetic algorithm

Interval Type-3 Fuzzy Parameter Adaptation in Harmony Search Optimal Controller Design

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