- Traffic control and management
- Traffic Prediction and Management Techniques
- Urban Transport Systems Analysis
- Transportation Planning and Optimization
- Traffic and Road Safety
- Infrastructure Maintenance and Monitoring
- Quality and Supply Management
- Microgrid Control and Optimization
- Asphalt Pavement Performance Evaluation
- Water Quality Monitoring and Analysis
- Electric Vehicles and Infrastructure
- Vehicle emissions and performance
- Energy Load and Power Forecasting
- Scheduling and Timetabling Solutions
- Grey System Theory Applications
- Smart Grid Energy Management
- Greenhouse Technology and Climate Control
- Spectroscopy and Chemometric Analyses
- Outsourcing and Supply Chain Management
- Smart Parking Systems Research
- Environmental Impact and Sustainability
- Advanced Chemical Sensor Technologies
- Innovation and Knowledge Management
Universiti Malaysia Perlis
2023-2024
Huaiyin Institute of Technology
2019-2022
University of South Australia
2016-2017
Signalized metering roundabouts are equipped with advanced loop detectors and traffic signals that can reduce vehicle queuing lengths, especially on the dominant approach, when unbalanced flow conditions occur. At a roundabout, changeable lengths location of determine signal phase times, which in turn affect length each approach. To date, most studies have focused performance comparisons between normal metered roundabouts, but failed to evaluate effect detector locations formations. In...
A metering roundabout where traffic is controlled by signals phase times are influenced queue detector occupancy may be the solution to reduce lengths under unbalanced flows. In past decades, a number of studies have attempted evaluate effectiveness roundabout, especially on dominant approach. Little studies, however, been directed prediction queuing lengths, which essential determine locations. This paper introduces length estimation model using adaptive neuro fuzzy inference system for The...
With the development of intelligent transportation systems, research into traffic signal control has received considerable attention. To date, many models have been studied, where most concentrate on how to minimize travel time, vehicle delay, and number stops or maximize capacity. This study introduces Garra Rufa–inspired (GRI) algorithm, which is used optimize modelling considering vehicles in a queue. GRI characteristics using decision variables code as operation object, directly...
A metering roundabout where traffic is controlled by lights with phase times influenced queue detector occupancy might be the solution to enhance performance when there are unbalanced flows at roundabouts. There have, however, been minimal studies on how distance of from stop line affects signal time durations and queuing lengths. This research, therefore, seeks develop a Cuckoo Search/Local search Algorithm using parameters such as arrival volumes, conflicting investigate relationship...
Recently, the expansion of energy communities has been aided by lowering cost storage technologies and appearance mechanisms for exchanging that is driven economics. An amalgamation different renewable sources, including solar, wind, geothermal, tidal, etc., necessary to offer sustainable smart cities. Furthermore, considering induction large-scale electric vehicles connected regional micro-grid, causes increase in randomness uncertainty load a certain area, solution meets community demands...
The GM(1,1) model's prediction accuracy is significantly influenced by the of background value estimation. traditional trapezoidal can only be applied to a specific data sequence. Therefore, this study proposes model reconstruction approach based on combination intelligent and variable weights in order increase application as well its accuracy. function with slope point position parameters called I. Then, set parameter sequences, new constructed, II. A genetic algorithm utilized seek for...
When roundabouts face congestion problems, the transition to signalised is considered a solution problem. The majority of studies have concentrated on how calculate optimal cycle length and signal timing minimise at roundabouts. To date, intelligence algorithms with multi-objectives such as queue length, number stops, delay time, capacity so are widely used for calculating timing. Although roundabout can be generated by weaving zone reducing capacity, there been minimal which take into...
The recent online business blossom has stimulated the soaring demand for logistics service, or rather, courier which emerged as a robust momentum of economic growth worldwide. So, to satisfy fast-changing businesses, services have been urged be more creative ensure desired efficient movement goods and along supply chain, especially in parcel deliveries. How could service creative? What makes not yet fully explored. Therefore, this study aimed unveil antecedents creativity from perspective...
A metering roundabout where traffic is controlled by lights with phase times influenced queue detector occupancy might be the solution to enhance performance when there are unbalanced flows at roundabouts. There have, however, been minimal studies on how distance of from stop line affects signal time durations and queuing lengths. This research, therefore, seeks develop a Cuckoo Search/Local search Algorithm using parameters such as arrival volumes, conflicting investigate relationship...
회전교차로는 각 접근로의 진입교통량이 불균형할 경우 주 대기행렬이 길어지게 됨으로 회전교차로 전체의 용량이 감소되는 단점이 있다. 이에 보통 1대의 신호등으로 운영되는 Metering 회전교차로의 연구가 활발히 진행되고 있지만 2대의 신호등에 의해 연구는 미흡하다. 교차로 분석에 널리 사용되는 SIDRA6 또한 구성된 제약이 따라서 본 연구에서는 실제 호주 Adelaide의 Old Belair 회전교차로를 대상으로 4-nodes Intersection을 이용한 새로운 분석방법을 제시하고 분석을 실시하였다. 모형 구축 방법에서 4개의 독립 연결, 기하구조 반영, 방향별 교통량 입력, 우선권 및 신호현시에 대해 설명하였으며 정산방법에서는 PFF, Critical Gap, Follow-up Headway 그리고 Extra Bunching 값의 적용에 대하여 제시 하였다. 그 결과 효과척도인 지체시간 서비스 수준의 분석이 가능하며 외 포화도 상충교통량 등 다양한 가능한 것으로...
<p>Traffic congestion is a major problem in urban areas, leading to increased travel time, air pollution, and fuel consumption. Road impedance function, which describes the relationship between traffic status plays an important role predicting time managing flow. Traditional methods for estimating road function rely on manual calibration may have limitations reflecting complexity of patterns. To address these challenges, researchers proposed various machine learning models function. In...