Developing Evaluation Framework for Intelligent Transport System on Public Transportation in Bangkok Metropolitan Regions Using Fuzzy AHP

Choosakun, Aoonrot; Yeom, Chunho

doi:10.3390/infrastructures6120182

Cited by 10 publications

(5 citation statements)

References 53 publications

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“…To obtain the rank of the identified factors, this study acquired professionals’ input. Several researchers adopted this approach in previous studies ( 32, 33 , 43 ). Farooq and Moslem studied the factors associated with risky driving behaviors and approached 20 transportation experts to fill out a survey ( 32 ).…”

Section: Methodsmentioning

confidence: 99%

“…Farooq and Moslem studied the factors associated with risky driving behaviors and approached 20 transportation experts to fill out a survey ( 32 ). In addition, Choosakun and Yeom designated a questionnaire and distributed it to 25 transportation professionals to complete their study ( 33 ). Moreover, Brown et al interviewed personnel from seven transportation service agencies to tackle accessibility barriers for seniors; the participants were experienced in facilitating the aging population’s mobility ( 43 ).…”

Section: Methodsmentioning

confidence: 99%

“…Farooq and Moslem ( 32 ) used MCDM applications to examine and weigh the most important driver-behavior factors associated with road safety; this study designed a questionnaire that was distributed to transportation personnel and collected their ranking of the identified factors based on their driving experience. Choosakun and Yeom ( 33 ) utilized the AHP tool to determine the significant indicators associated with a successful advanced public transportation system. For this purpose, the study defined 21 factors categorized into six groups and retrieved experts’ rankings to perform the analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

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Assessment of the First-and-Last-Mile Problem in Underserved Communities: Case Study in Camden City, NJ

Alfaris

Jalayer

2023

Transportation Research Record: Journal of the Transportation R

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The first-/last-mile (FLM) trip is the distance a person needs to complete before boarding a transit stop or after alighting. Challenges to completing the FLM trip significantly affect disadvantaged groups who are highly reliant on transit, including people with disability, people of color, older populations, and low-income travelers. To evaluate the FLM trip, this study referred to the current literature and identified the factors associated with challenges in completing the FLM trip. The identified elements were categorized into safety, accessibility, demographic, and health-related factors. The analytic hierarchy process (AHP) method was utilized to weigh these factors and evaluate the FLM problem in the study area, Camden City, New Jersey. To implement this, a questionnaire was designed and distributed to transportation professionals in New Jersey. The experts were required to rank the importance of each factor based on their experience and in consideration of the study area. Finally, the study utilized the multi-criteria analysis AHP approach supported by ArcGIS to model the problem spatially. A data inventory of Camden City was completed to run the spatial analysis. The outcome presented in this paper is a spatial evaluation of the FLM barriers in the study area. In addition, it provides a prioritization of the factors associated with FLM issues concerning underserved communities. This research offers a comprehensive approach to understanding the barriers to fair and accessible transportation systems and helps professionals overcome these barriers and maintain equitable transportation networks.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Assessment of the First-and-Last-Mile Problem in Underserved Communities: Case Study in Camden City, NJ

Alfaris

Jalayer

2023

Transportation Research Record: Journal of the Transportation R

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“…Cycle time refers to the time required for all phases in the traffic junction signal to pass in sequence. Signal phasing, the right-of-way given to one or more traffic flows at an intersection for a certain period of a signal cycle, is designed to avoid conflicts between traffic flows in each direction [1][2]. In general, an intersection is said to have several phases in a signal cycle.…”

Section: Getting the Basic Parameters Of Intelligent Transportmentioning

confidence: 99%

Intelligent traffic signal coordination control method based on YOLOv3 and DQN

Yi-xiao¹,

Ni²

2023

International Conference on Signal Processing and Communication Technology (SPCT 2022)

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Because the time of traffic signal lights when vehicles are released is the same, it is easy to cause vehicle accumulation, traffic congestion and other problems. Therefore, a coordinated control method of intelligent traffic lights based on YOLOv3 and DQN is proposed. Obtain the basic parameters of intelligent traffic, set the green signal ratio of each phase in a balanced manner, define the reward of coordinated control as the change in cumulative waiting time between two adjacent cycles, set the intersection control domain decision sequence based on YOLOv3 and DQN, calculate the intersection cycle correlation, and design the signal coordination control method. Experimental results: The average queue waiting time of the intelligent traffic signal coordination control method in this paper is 648.37 s, which is 64.22 s and 41.05 s lower than the other two intelligent traffic signal coordination control methods respectively, indicating that the designed intelligent traffic signal coordination control method is better after combining YOLOv3 and DQN algorithms.

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“…Ali et al (2014) [35] used the fuzzy AHP method to evaluate the weights of eight evidential layers in the Taherabad area of eastern Iran. Choosakun and Yeom (2021) [36] applied the fuzzy AHP method to assess the advanced public transport system in the Bangkok Metropolitan Region. The main characteristics were determined, including the reduction of traffic accidents related to public transportation, density of the smart public transport network, and waiting time for public transportation.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Approach of Fuzzy Analytic Hierarchy Process and Super Slack-Based Measure for the Logistics Industry in Vietnam

Nguyen,

Ngo

et al. 2023

Sustainability

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In the context of economic development and international economic integration, Vietnam’s logistics industry is developing to meet market demands for the transportation of goods; thus, many logistics enterprises have been formulated and expanded in recent years. This research aims to measure the efficiency of logistics enterprises and recommend a feasible solution to improve their future performance by integrating a super slack-based measure model (super-SBM) in data envelopment analysis and fuzzy analytic hierarchy processes (fuzzy AHP) in multi-criteria decision-making. The super-SBM model was utilized to conduct the efficiency scores of logistics enterprises from 2016 to 2022 based on calculating the ratio between input and output variables; the empirical result determined each enterprise’s effectiveness and ineffectiveness. Next, the fuzzy AHP method evaluated and ranked criteria that directly impacted the operational process of logistics enterprises based on experts’ opinions; the examined result suggested a feasible direction to improve future business efficiency. The proposed hybrid models are a helpful solution for efficiency determination and determining the development direction for logistics enterprises. An overall picture of the logistics enterprises was also drawn to describe their operational business process.

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Developing Evaluation Framework for Intelligent Transport System on Public Transportation in Bangkok Metropolitan Regions Using Fuzzy AHP

Cited by 10 publications

References 53 publications

Assessment of the First-and-Last-Mile Problem in Underserved Communities: Case Study in Camden City, NJ

Assessment of the First-and-Last-Mile Problem in Underserved Communities: Case Study in Camden City, NJ

Intelligent traffic signal coordination control method based on YOLOv3 and DQN

An Integrated Approach of Fuzzy Analytic Hierarchy Process and Super Slack-Based Measure for the Logistics Industry in Vietnam

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