Vehicle Parking Research Articles

Optimal Parking Space Selection and Vehicle Driving Decision for Autonomous Parking System Based on Multi-Attribute Decision

Autonomous parking systems (APSs) can help drivers complete the task of finding a parking space and the parking operation, which improves driving comfort. Current research on APSs focus on the perception, localization, planning, and control modules, while few pay attention to the decision modules. This paper proposes a method for optimal parking space selection and vehicle driving decisions. In terms of selecting the optimal parking space, a multi-attribute decision method is designed considering the type of parking space, walking distance, and other factors. In terms of vehicle driving decisions, we first predict the behavior and trajectory of the target vehicle in a specific scenario, and then use a combination of rule-based and learning-based decision methods for safe and comfortable vehicle driving behavior decisions. Simulation results show that the proposed methods can find the optimal parking space according to the parking lot map and improve the efficiency and smoothness of vehicle driving while ensuring driving safety.

Enhanced Surveillance: Developing a Computer Vision-based CCTV Footage Analysis Tool for Improved Vehicle Number Plate Recognition

Abstract: Smart parking systems serve as integral components in augmenting the efficiency and sustainability of modern urban environments. Nonetheless, prevailing systems predominantly rely on sensors to monitor parking space occupancy, entailing substantial installation and maintenance costs while offering limited functionality in tracking vehicle movement within parking lots. To confront these challenges head-on, our solution introduces a multistage learning-based approach, capitalizing on the existing surveillance infrastructure within parking facilities and a meticulously curated dataset of Saudi license plates. Our approach amalgamates YOLOv5 for license plate detection, YOLOv8 for character detection, and a novel convolutional neural network architecture tailored for enhanced character recognition. We illustrate the superiority of our approach over single-stage methods, achieving an impressive overall accuracy of 96.1%, a notable advancement from the 83.9% accuracy of single-stage approaches. Furthermore, our solution seamlessly integrates into a web-based dashboard, facilitating real-time visualization and statistical analysis of parking space occupancy and vehicle movement, all accomplished with commendable time efficiency. This endeavor underscores the potential of leveraging existing technological resources to bolster the operational efficiency and environmental sustainability of smart cities. By harnessing the power of machine learning and computer vision, our work exemplifies a paradigm shift towards smarter and more adaptive urban infrastructure

Smart Vehicle Parking Facility and Monitoring System Using ML

In response to the exponential growth of vehicles in the last two decades, we propose a Machine Learning-based Smart Parking System designed to address the challenges of parking management without the need for sensors or IoT technology. This system leverages cloud computing and a cyber-physical framework to streamline parking operations, providing real-time information to users about parking slot availability, efficient management of reserved and unreserved slots, detection of anomalies, and intelligent traffic management. With a user-friendly interface, the system minimises human intervention, resulting in time, cost, and energy savings, offering an enhanced and efficient solution for urban parking management.In response to the exponential growth of vehicles in the last two decades, we propose a Machine Learning-based Smart Parking System implemented as a web application using HTML, CSS, and JavaScript, without the need for sensors or IoT technology. This web-based system leverages cloud computing and a cyber-physical framework to streamline parking operations, providing real-time information to users about parking slot availability, efficient management of reserved and unreserved slots, detection of anomalies, and intelligent traffic management. With a user-friendly interface, the system minimises human intervention, resulting in time, cost, and energy savings, offering an enhanced and efficient solution for urban parking management.

Design and Development of Smart Parking System Using RFID Technology

We can now access all non- interenet things from anywhere through Internet of thinking IoT and it made easy to access. People must grow with the technology. With the Parking what we have now, People are facing difficulties to park their Vehicles in their Parking Space in Cities. In Our study we designed a Smart Vehicle Parking, with which people can know about the nearest Parking Slot it will give the data of available Parking Slots in respective parking Space. Using the Smart Vehicle Parking People can save their time by finding available Slots So they don’t have to spend time and it they don’t have to travel already filled parking lots in a parking areas. It also reduces fuel consumption which is good for atmosphere.Radio-frequency identification (RFID) is a device that allow us to store the data in RFID tag ,it is an automated identifying technique s for the remote retrieval or transponders.An RFID tag is a radio-frequency identification and tracking device that is used to integrated into a product, animal, or human, as it is using radio waves for tracking. Some RFID tags are read from many meters away . We can use RFID technology in malls and Buildings for vehicle Parking . This Vehicle Parking System is having RFID card,RFID Reader a LED display board, vehicle counter and a audrino micro-controller. When a car is to be parked , RFID reader which is installed near the entry gate will read the RFID card. When a vehicle enter a parking slot it will open the gate and the the vehicle will be identified and when it takes a Parking slot it will be displayed in the LED Display and the available spot will reduce by and occupied slot will be increased by 1. When the same vehicle leave the parking slot, the available slot will increase by 1 and occupied slot will reduce by one . We can also book and reserve a parking slot for us, when there are no parking slot availabe it will notify us as no Parking slot is available

KAJIAN KEBUTUHAN DAN PENDAPATAN PARKIR PADA KAWASAN OBJEK WISATA PANTAI KELAN KABUPATEN BADUNG BALI

Badung Regency is one of the largest contributors to regional economic income, namely in the world of tourism, especially the South Badung area which is famous for its many beach tourism objects which attract many foreign and local tourists. Availability of parking spaces, of course, must have good parking services in order to optimally utilize the available parking space capacity. This research focuses on planning the need for parking space and parking revenue for two-wheeled vehicles and four-wheeled vehicles in the Kelan Beach tourist area, because parking is one of the supports for tourism so that visitors can feel comfortable and can realize an adequate parking pattern. The planned land area for parking two and four-wheeled vehicles at Kelan Beach is 2097.30 m² in total. The survey method used is the cordon count and patrol method. Characteristics of parking for two-wheeled vehicles include the highest volume, namely 461, accumulation of 141 vehicles, duration of 1.63 hours, capacity of 173, turnover rate of 0.18, index of 0.68 less than (<) 1.00, which means the need for parking is below capacity/sufficient, and four-wheeled characteristics include volume maximum of 163, accumulation of 33 vehicles, duration of 1.48 hours, capacity of 49, turnover rate of 0.23, index of 0.57 less than (<) 1.00 which means parking needs are below capacity and do not need expansion. The parking space requirements for two-wheeled and four-wheeled vehicles are 63 and 20 slots respectively. The parking layout at Kelan Beach tourist destination adopts a 90° angle pattern for both two-wheeled and four-wheeled vehicles, with respective parking space dimensions of 0.75 m x 2.00 m and 2.50 m x 5.00 m. The projected annual parking revenue is estimated at IDR.499,441,667.00, calculated based on fixed rates. Paving blocks are chosen for the parking surface, with a cost of IDR.441,345,000.00.

IoT Solutions for Smart Parking- Sigfox Technology

Sigfox technology has emerged as a competitive product in the communication service provider market for approximately a decade. Widely implemented for smart parking solutions across various European countries, it has now gained traction in Germany as well. The technology's successful track record and reputation in the market demonstrate its effectiveness and reliability in addressing the communication needs of IoT applications, particularly in the context of vehicle parking systems. This is noted in terms of a city like Berlin-Germany, for on which the study is conducted. The major challenge being on how to relate the parking techniques in a more user friendly, cost effective and less energy consumpmti0n mode where the questions had at the beginning of the paper, relatively at the end the answers are sought to it via Sigfox and its comparison with other related technologies like LoRA WAN and weightless. But more so future areas of research study is also pointed out on areas which are not clearly identified in this particular research area. This paper entails the pros, cons adaptive, emerging and existing technology study in terms of cloud, big data, Data analytics are all discussed in tandem to Sigfox.

DETECTION OF ILLEGAL ON-STREET PARKING

The increase of automobiles in this generation is very high compared to the olden days. Due to the increase of such automobile, there is also a gradual increase in terms of traffic in the countries. We wait for a long time based on the traffic in the cities. The main cause for some traffic to occur is due illegal parking on roads and other areas. In order to beat this drawback, we tend to propose a way to avoid traffic that is by detecting illegal on-street parked vehicles by the use of their number plates by image processing. On-street parking refers to practice of parking vehicle on the side of public road or street. The on-street parking is common method of parking in urban and suburban areas where parking lots or dedicated off-street parking space may be limited. Due to illegal on-street parking there will be traffic congestion and also accidents may occur. “Detection of Illegal On-Street Parking” provides data of the illegally parked vehicle by capturing the image of number plate and that image is converted to greyscale, segmented and masked in the pre-processing stage. Then using Computer Vision technique, bounding boxes are formed around characters and characters are also printed with the use of CV library. The proposed also generates the chalan or invoice of penalty stating the duration of time parked in. Key Words: on-street parking, area of interest, Raspberry Pi, image processing, Resnet, Yolo v3 model, OCR.

Application of Photovoltaic Panels as Producers of Electrical Energy With IoT Technology Based on Programmable Logic Controller

The process of converting solar cell electrical energy is a form of utilizing environmentally friendly alternative energy sources (renewable energy). The conversion system is in the form of PV panels that are installed in a location exposed to sunlight and unobstructed. Monitoring is carried out when the sun shines from morning to evening. The location of the panel is in the vehicle parking lot of the engineering faculty, while monitoring is carried out in the Control Laboratory of the Tanjungpura University Engineering Faculty, which is 300 meters away. Factors that determine the quality of PV panels are the system and dimensions. This shows that fluctuations in current (I), voltage (V) and power (P) need to be controlled so that load distribution and reserves can prevent reduced energy generation. Observation and control using Long Range Area (LoRa) radio transmission media connections, Internet of Things (IoT) and Programmable Logical Control (PLC) in real-time. Observation and test results show that energy generation has experienced an increase in temperature which has an impact on reducing power. Meanwhile, the effect of the distance between the installed panels produces an average delay of 7 milliseconds (midday conditions). Meanwhile, the Signal to Noise Ratio (SNR) value for data transmission is 30 dBm at the device frequency of 868.125 MHz. Baud rate 2400-9600 bps with a speed of 0.3 bps – 62.5 Kbps. The application of this system is a research novelty because it can determine and control the generation of electrical energy at minimum, maximum and optimum conditions with a certain distance between the observer and the installed panel.

Parking Occupancy Detection using Computer Vision Techniques

The surge in vehicle numbers on roads contributes significantly to traffic congestion and management challenges, particularly evident in developing nations like India where the influx of cars exceeds road and parking capacity. Addressing these issues necessitates the implementation of sophisticated parking management systems. This project focuses on two key objectives: detecting vehicle occupancy within marked parking slots and analyzing parking data. Using the parking lot near IIT Kanpur main gate as a reference, video data was collected for 14 consecutive days, enabling the evaluation of vehicle occupancy and parking patterns. Object detection algorithms such as Mask-RCNN and YOLO-v5 were employed to identify occupied parking spaces within the lot. Various methods, including HAAR cascade-based classifiers, DNN-based systems utilizing ResNet classifiers, and RCNN with IoU, were tested for detecting vehicles within allotted slots. The data collected was stored in CSV format for analysis. This project aims to provide insights into detecting parking space availability and analyzing parking data to optimize time and fuel efficiency. In the Mask-RCNN approach, pre-occupied spaces are denoted by red boxes, while green boxes represent available parking spots. Similarly, YOLOv5 was utilized to count cars in video frames and identify available parking spaces. The YOLO Annotation Toolbox facilitated the extraction of parking space coordinates from recorded video frames, which were then visualized in QGIS for further analysis.

Smart Car Parking System Using Raspberry Pi

This paper deals with a simple smart vehicles parking system by using basic components like micro controller, IR Sensors, Servo Motor, LCD etc. Parking, offered in malls, shopping areas, etc., are provided with help of a person which is very time consuming. Because of this, we created a straightforward vehicle parking system that uses IR sensors installed at parking spaces to detect the presence of parked vehicles, an LCD display board that shows the number of vacant and occupied parking spaces, and an LCD display board that shows the number of parking spaces currently available. Therefore, the research methodology work solution creates and implements an experimental setup that will regulate traffic in parking areas while also informing drivers about free spots. The main function of the servomotor is to permit and prohibited vehicles in and out of indoor spaces by opening and turning off the entry or exit barrier according to the data obtained from the IR sensors which are present on the entry gate, exit gate, parking spots.

StreetSavvy: Automated Parking Management System with License Plate Recognition and Pricing

The Parking Charge Calculator represents a meticulously designed system aimed at accurately determining the parking charges for vehicles within a parking facility. This innovative solution leverages Automatic Number Plate Recognition (ANPR) technology in conjunction with a robust database system to streamline the process of identifying vehicles and computing corresponding parking fees. Within the confines of a parking lot, the unique identification of vehicles is facilitated through the extraction of information from license plates. When a vehicle enters the parking lot, the Parking Charge Calculator initiates the retrieval of the license plate number through the ANPR technology. This automated recognition system efficiently captures and records the alphanumeric sequence on the license plate, laying the foundation for subsequent charge calculations. The fundamental mechanism employed by the Parking Charge Calculator involves the multiplication of hourly parking charges by the temporal duration of a vehicle's stay. As the vehicle enters the parking lot, the system records the entry time. Upon the vehicle's departure, the departure time is similarly recorded. The time difference between these two instances becomes a critical parameter in the calculation process. Hourly parking charges, predetermined and configured within the system, serve as the unit of measurement for the calculation. The Parking Charge Calculator multiplies these charges by the elapsed time, providing a precise and automated method for determining the parking fee for a given vehicle. This approach not only ensures accuracy in charge computation but also eliminates the need for manual intervention, promoting efficiency and reducing potential errors. The integration of ANPR technology and a sophisticated database system not only expedites the identification process but also contributes to the overall reliability and security of the Parking Charge Calculator. By automating the parking charge calculation based on vehicle entry and exit times, this system offers a seamless and transparent method for both parking lot operators and vehicle owners, enhancing the overall parking experience and fostering a more technologically advanced approach to parking Management

Managing parking reservations to mitigate congestion in office-oriented garages

ABSTRACT To alleviate the congestion caused by long parking lines in office-oriented garages, we explore the parking reservation management strategy and focus on the optimization of arrival patterns. A k-means algorithm based on dynamic time warping (DTW) is initially applied to extract the representative arrival patterns of parking vehicles. Based on these patterns, a bi-objective arrival optimization model is then developed to decrease traffic delay time and reduce individual discomfort due to arrival time shifts. The Pareto solution set is obtained, suggesting a potentially optimal balance between traffic delay and individual discomfort. The further analysis indicates that, strategically redistributing a small percentage of vehicle arrivals can mitigate congestion under certain conditions. For small-, medium-, and large-sized garages, shifting 9.01%, 6.90% and 11.07%, respectively, of the arrival demand to either of the adjacent time windows can reduce traffic delay time by 32.74%, 49.01% and 63.27%, respectively.

Risk-constrained bidding and offering strategy for sector-coupled electricity-hydrogen systems incorporating accessibility level of mobility sector

To enhance the economic viability of integrated energy systems, it is important to balance risk and reward while ensuring operational flexibility and compliance with regulatory constraints. Developing an integrated risk measurement method for energy trading in energy markets that complies with regulatory constraints adds another layer of complexity, especially when dealing with large-scale heterogeneous energy systems, such as those dominated by green hydrogen. Ensuring adherence to market regulations, grid codes, and flexible requirements requires a thorough understanding of legal frameworks and policy considerations, as well as integrating regulatory constraints into the bidding/offering strategies. To address these challenges and enable the profitable development of integrated electricity-hydrogen energy systems (IEHSs), this paper develops a risk-constrained bidding/offering self-scheduling strategy for IEHSs that allows for simultaneous trading in day-ahead energy and reserve electricity markets. The developed self-scheduling strategy regulates hydrogen and power flow in a centralized manner, taking into account the operational limits of the power sector, hydrogen fueling stations (HFSs), electric vehicle parking lots, fuel cell vehicle parking lots, and renewable energy sources. As a salient feature, the important human-related factors in the mobility sector are included in the proposed strategy to motivate private owners to collaborate with IEHSs and to accommodate the charging demand of vehicles with electricity market signals. To obtain the robust day-ahead schedule, economic risks associated with renewable power generation, calls for reserve deployment, and electricity market prices are taken into consideration. Towards this end, a stochastic adaptive robust optimization approach is proposed to control the risk of profit variability, which is solved by a nested column-and-constraint generation algorithm. The effectiveness and feasibility of the proposed strategy are verified using the modified IEEE 14-bus test system, as a standard scale of local IEHSs. The numerical results highlight the synergies impact between HFSs and the power sector, resulting in an increase in the profit of the IEHS from $101.654k to $275.078k. Furthermore, the IEHS can improve its profit margin and competitiveness by employing the tri-level stochastic adaptive robust optimization approach. This approach ensures that the IEHS is resistant to sudden changes in real-time interactions, even with an 8.14% increase in the imbalance cost.

Smart and Secure Vehicle Parking System to Avoid Theft Using Deep Image Recognition

Secure intelligent parking systems are complicated issues around the world. A secure parking system that is larceny-free is considered a luxury now. Parking is expensive and limited in almost all large cities. This research study presents a unique, safe, intelligent parking system based on deep image recognition techniques. To solve this tedious problem, an object detection deep learning model such as You Only Look Once (YOLO) is used. The proposed model is divided into three steps. The first step captures the car's image while entering the parking area. The second step is License plate recognition, in which the license plate is detected and saved the individual characters, and the recognized dataset is used when the driver leaves the parking area. The third step is facing detection and recognition of the taken plate. The fourth step is that the printer generates an invoice code used in case of a mismatch in the face of the driver. Evaluation of the proposed model indicates its efficiency. Accuracy of the following modules is achieved for vehicle detection (99%), number plate detection and recognition 98%, and 95%, respectively, and face detection and recognition 99%, and 97%, respectively. The proposed model's efficiency is shown through its evaluation. To get more security, a two-way screening procedure is used to keep the vehicles secure. So, the identification system's unique idea is to achieve better results by using two cameras and two-way authentication. It also forbids the entrance of those vehicles and drivers who are unauthorized or not allowed by the firm. Moreover, these modules were successfully implemented and evaluated using various performance measures, including precision, recall, and mean average precision.

Analysis of Parking Characteristics in Rest Area Km 726 B in Planning Parking Space Needs at Rest Area Facilities STA 19+600 Manjungan Klaten Village Solo-Yogyakarta-Nyia Kulon Progo Toll Road Section I Package 1.1 Solo Klaten (STA 0+000 – 22+300)

The problem of traffic jams continues to increase, the government is designing an alternative road connecting Surakarta to Yogyakarta. The increasing volume of vehicles on the Solo - Yogyakarta toll road makes accidents prone due to driver negligence. To reduce the risk of accidents and relieve fatigue after traveling, one of the policies taken is to build rest areas and facilities. The method used in the research is a direct survey to obtain primary data in the form of incoming and outgoing vehicle data, the number of existing parked vehicles, facilities in rest areas and secondary data in the form of daily traffic on the Solo - Yogyakarta toll road obtained from PT. JMM. Based on the condition of the existing rest area, it is necessary to analyze the parking facilities to get an idea of ​​parking capacity and parking space requirements. The guideline used in the research is "Guidelines for Planning and Operation of Parking Facilities for the Directorate of City Transport Traffic System Development 1998", as well as references related to parking analysis. The conclusion of the analysis results is that the parking space needed for the Solo-Yogyakarta toll road in the 2024 planning year is 271 SRP, the volume of incoming vehicles is 2751, the accumulation is 206 vehicles, the parking index is 75.99%, the turnover is 10.15, and in 2033 there are parking spaces. What is needed is a capacity of 541 SRP, a volume of incoming vehicles of 5495, an accumulation of 411 vehicles, a parking index of 76.07%, and a turnover of 10.16.

Techno-economic investigation of grid integrated renewable energy resources with hydrogen storage systems

Fundamentally, a system is inherently connected to the presence of uncertainty, which consequently leads to the development of uncertain design and scheduling. In the contemporary power system, the prevailing conditions can primarily be attributed to the uncertain efficiency of several variables, such as pricing. Consequently, the utilization of uncertainty modeling turns into imperative. This study utilizes an optimization technique that employs a hybrid whale optimization algorithm and pattern search (HWOA-PS) to achieve the optimum efficiency in the smart parking of electric vehicles under uncertain conditions arising from fluctuations in the pricing of the main grid within the demand response program (DRP). The proposed method can effectively reduce daily costs by shifting the load between peak and light-load conditions. The suggested scheme has several features such as a non-dominated arrangement model, variable discovery, memory-based approach assortment and fuzzy theory to select the greatest Pareto. In addition to all the advantages mentioned above, the proposed algorithm has a high response speed in achieving the final and high possibility to reach the global point. There exist several important limitations for Hydrogen Storage Systems (HSS) that needs to be considered in modeling. The most important limitations include the restrictions of the electrolyzer and the boundaries of Fuel cell (FC) as well as a storage tank. The performance of the suggested algorithm is confirmed in a system with parking and several resources under uncertainty. The results confirm that the proposed method has a great ability to cope with uncertainty. Hence, there has been a reduction of as much as 41 % in the expense of SPL variation. Conversely, by taking into account the DPR, the mean expense of the SPL increases by 4.92 %, resulting in a corresponding decrease of 47.01 % in the variation of SPL costs. When evaluating the impact of DPR, it is seen that an increase in the mean expense of SPL leads to a decrease in its overall magnitude.

Experimental and numerical investigation of thermal environment of the child trapped in a parked vehicle

Pediatric vehicular hyperthermia (PVH) has aroused wide public concern recently. High temperatures in closed vehicles with full sun exposure and no ventilation in summer seriously endanger children's lives. Aiming at this practical problem, this study first took the temperature of child’s core body as a standard, and divided the hyperthermia into three stages: un-compensable heating (Tc > 37ºC), heat stroke (Tc > 40ºC) and critical thermal maximum (Tc > 42ºC). On this basis, two weeks of outdoor parking experiments during 10:00–18:00, using an equivalent size dummy were conducted to explore the influence of ambient temperature and solar irradiation on cabin temperature, humidity, and child’s core body temperature. According to the experimental results, at an ambient temperature of 32.4ºC, the child in the cabin developed un-compensable heating within 72 min, suffered heat stroke within 129 min, and reached the critical thermal maximum within 151 min. Considering the limitations of the experiment, a numerical study was conducted to analyze the effects of ambient temperature, solar irradiation, and window radiation characteristics on cabin temperature and flow fields comprehensively. Simulation results were in good agreement with the experiments: even at low ambient temperature Ta = 23ºC or weak solar irradiation (ts = 18:00) condition, the temperature in a closed compartment could reach the "hazardous" level. This study can provide guidance for public to increase security and prevention awareness, and promote the development of relevant policies and technologies.

Modelling autonomous vehicle parking: An agent‐based simulation approach

AbstractAutonomous vehicles (AVs) present a paradigm shift in addressing conventional parking challenges. Unlike human‐driven vehicles, AVs can strategically park or cruise until summoned by users. Utilizing utility theory, the parking decision‐making processes of AVs users are explored, taking into account constraints related to both cost and time. An agent‐based simulation approach is adopted to construct an AV parking model, reflecting the complex dynamics of the parking decision process in the real world, where each user's choice has a ripple effect on traffic conditions, consequently affecting the feasible options for other users. The simulation experiments indicate that 11.50% of AVs gravitate towards parking lots near their destinations, while over 50% of AVs avoid public parking amenities altogether. This trend towards minimizing individual parking costs prompts AVs to undertake extended empty cruising, resulting in a significant increase of 48.18% in total vehicle mileage. Moreover, the pricing structure across various parking facilities and management dictates the parking preferences of AVs, establishing a nuanced trade‐off between parking expenses and proximity for these vehicles.

IoT Based Smart Vehicle Parking System Using RFID

The "IoT-Based Smart Vehicle Parking System Using RFID" project introduces an intelligent and efficient solution for modernizing vehicle parking management. Leveraging the Internet of Things (IoT) and Radio-Frequency Identification (RFID) technologies, this system optimizes the parking process, enhances user experience, and provides real-time monitoring and control. The project aims to address the challenges of urban parking by improving accessibility, reducing congestion, and streamlining the parking experience. The Internet of things (IOTs) is a vital technology, it is playing a crucial role in the day-to-day life of human beings. With the help of this technology, now day’s humans are getting effective output with very little effort.It reduces the man-made errors made by humans due to negligence . As technology advances, smartphones are an inevitability for every human being. The proposed parking system effectively manages the parking space and it will manage collision among the vehicles at the same time.

TATA KELOLA TERMINAL TIPE A DALAM PERSPEKTIF GOOD GOVERNANCE

Implementation of the principles of Good Governance, where the state is the party that plays the most important role in realizing these principles. The implementation of Good Governance is the main prerequisite for realizing the aspirations of the community in achieving the goals and aspirations of the nation and the State, this cannot be separated from the application of the principles of good governance at the Isimu BPTD Type A Terminal in Region XXI of Gorontalo Province. This research was conducted to determine the implementation of good governance in the management of the Type A Isimu BPTD Terminal Region XXI Gorontalo Province. This research uses a qualitative descriptive method with an analytical method, namely research that produces descriptive data in the form of written or spoken words from people and observable behavior. The results of this research indicate that the implementation of good governance in the governance of the Type A Isimu BPTD Terminal Region XXI Gorontalo Province has not been fully implemented optimally. This can be seen from several indicators, namely: planning that has not been optimal, namely related to track routes and output as the final result, organization that has not been maximized, namely related to the arrangement of bus parking and track routes, implementation of activities that still need to be improved, and supervision that has not been carried out optimally. The recommendation of this research is that the Land Transportation Management Center Region XXI Gorontalo Province through the Isimu Type A Terminal service unit should: 1) further maximize the terminal work plan, 2) further maximize terminal management, by continuing to improve security, cleanliness and order in the terminal, 3) need to maximize the function of the Terminal, and 4) need to increase supervision over the use of the terminal and supporting facilities according to their intended purpose, especially vehicle parking areas that are not yet neatly arranged.