How to Manage Parking Capacity As the Number of Vehicles Increases? AI-Supported Models

The rapid increase in urbanization rates and the parallel uncontrolled rise in the number of vehicles in traffic have created one of the greatest crises straining the infrastructure of modern cities: the parking space problem. The manual methods and simple barrier systems applied in the past have now reached a complete deadlock in managing today’s complex traffic data. In this context, the question of how to manage parking capacity amidst the increasing number of vehicles has become the number one agenda item not only for drivers but also for municipalities, urban planners, and large-scale commercial enterprises. Attempting to increase capacity by constructing reinforced concrete multi-story structures is not a sustainable solution, as it is both high-cost and constrained by the physical limits of cities. The solution no longer lies in increasing square footage, but in the digitalization of existing parking capacity management processes, data-driven strategies, and the integration of AI-supported parking systems. This comprehensive guide presents a roadmap extending from the unseen root causes of the problem to the futuristic solutions offered by artificial intelligence.

Why is parking capacity insufficient?

For many business managers and city planners, the answer to the question of why parking capacity is insufficient can be given, from a superficial perspective, simply as ‘there being too many vehicles in traffic.’ However, at the very foundation of the problem lies not the number of vehicles, but the management of existing areas in a static, inflexible, and data-free manner. In many cases, even if parking lots are not physically 100% full, an artificial perception of density and capacity insufficiency occurs because drivers cannot be directed correctly and quickly to empty spaces. When parking areas are used inefficiently, the system locks up due to operational errors, even if it is mathematically possible for the current supply to meet the demand. This is a management weakness that causes resources to be wasted and drivers to leave the parking lot without finding the existing empty spots.

The root causes of inefficient use of parking spaces

Parking inefficiency usually stems from the area not being monitored in real-time and data not being used as a management tool. Every minute a driver spends finding an empty spot in a large parking lot actually causes that parking space to be ‘idle’ and ‘unusable’ during that time. Furthermore, non-cyclical parking (low turnover) and spaces that remain empty for hours despite being reserved are the main factors reducing the efficiency of the system. The fact that a capacity of 500 vehicles on paper can effectively be used for only 350 vehicles in the field is the clearest indicator of managerial blindness and a lack of technology. This inefficiency creates not only a loss of revenue but also serious customer dissatisfaction.

Problems caused by unplanned parking growth

Unplanned parking planning, trying to catch up with the uncontrolled growth rate of cities, usually results in the construction of massive parking lots in regions where demand density and traffic axes are miscalculated. These positioning errors, which are not based on data and future projections, create idle capacity in one region while causing serious parking chaos in the immediate next street or avenue. Positioning parking entrances and exits in a way that cuts off main artery traffic makes regional traffic even more inextricable instead of solving the parking problem. Such unplanned structures not only spoil the silhouette of the city but also turn into ‘dead investment’ areas that hinder rather than support urban mobility. Correct planning requires data engineering, not just civil engineering.

Why is it so hard to find a parking spot in big cities?

For drivers living in metropolises like New York, Istanbul, or London, the question of why it is difficult to find a parking spot in the city is a major part of daily life stress. The dramatic increase in population density and vehicle ownership per capita is unfortunately in constant conflict with limited inner-city areas that cannot be expanded. However, looking from the outside, the answer to the question of why parking spots always seem full is not just the number of vehicles. The real reason is not only that parking supply cannot meet demand, but also that current demand cannot be spread continuously throughout the day and management systems cannot distribute this load. The concentration of business and trade in city centers at certain hours carries parking demand to unmanageable peak points.

The impact of the increasing number of vehicles on urban areas

For cities, the increasing number of vehicles means not only the slowing down of traffic flow but also the occupation of public stopping areas and sidewalks. especially the lack of supervision and irregularity of roadside parking (on-street parking) leads to the de facto reduction of the number of road lanes, narrowing, and serious disruption of traffic flow. According to statistics, every new vehicle spends an average of 95% of the day parked; this creates a need for a massive storage area rather than movement. Cities face the danger of turning into storage areas for metal piles instead of being living spaces for people. This situation endangers pedestrian safety and directly drags down urban aesthetics and quality of life.

The invisible burden of searching for parking on traffic

Parking search traffic, which most drivers do not notice, is a hidden monster that constitutes more than 30% of urban traffic congestion and carbon emissions. Drivers circling the same block repeatedly in hopes of finding an empty spot (cruising) both increase emissions with unnecessary fuel consumption and bring existing flowing traffic to a standstill. This ‘stray traffic’ load is a direct result of the lack of parking management systems and guidance signs. Even though the driver has reached the destination, they continue to stay in traffic because they cannot park, which locks the traffic behind them in a chain reaction. Solving this problem is a much more effective traffic relief method than building new roads.

Why does the parking problem persist despite building new parking lots?

Despite large budget investments made by municipalities and investors, the question is frequently and rightfully asked by citizens: why is it still full even if a new parking lot is built? This paradoxical situation is scientifically explained in urban planning by the concept of ‘induced demand’; that is, increasing the supply of a service also increases the demand for that service. More and easier parking spots encourage people to use private vehicles more instead of public transportation, and the vicious cycle continues. Therefore, the answer to the question of why the parking problem continues lies not in pouring more concrete and construction, but in a management mentality that will change transportation habits. The permanent solution is not to increase supply, but to manage and optimize demand.

Why is capacity increase not a solution on its own?

Looking at current problems, the answer to the question of whether physical parking capacity increase is sufficient is definitely ‘No’. If the entry-exit speeds of the parking lot, the practicality of payment systems, and internal guidance mechanisms are not optimized, a massive parking lot for 1000 vehicles can perform much worse than an efficiently operating parking lot for 500 vehicles. Large parking lots, when not managed well, mean more traffic inside, a higher risk of accidents, and longer queues at exits. Expanding the area simply in terms of square meters means expanding the chaos if it is not supported by technology. Capacity increase turns into a meaningful investment only when paired with smart management systems.

Why is an efficiency-oriented approach necessary?

In an economic period where construction, land, and operating costs are increasing rapidly, parking efficiency management is a much more economical and logical approach than new construction costs. Using every square meter of the existing area with maximum occupancy rates and high vehicle circulation (turnover) is the only way to a sustainable solution. An efficiency-oriented approach increases operating profitability by enabling more vehicles to enter and exit the same area during the day. Additionally, improving existing infrastructure allows for solving the capacity problem without damaging the urban texture while minimizing environmental impacts. Technological transformation is always faster and less costly than physical expansion.

Why is the parking occupancy rate irregular and how is it analyzed?

One of the biggest challenges faced by parking operators and city managers is the unpredictability and uncertainty of demand. The answer to the question of why the parking occupancy rate follows an irregular course is hidden in human behaviors and the rhythm of the city. Weekday working hours, weekend social events, public holidays, or seasonal weather changes cause this rate to fluctuate instantly. To manage this irregularity and develop the right pricing strategy, the answer to how the parking occupancy rate is analyzed requires data analytics expertise. It is essential not only to look at end-of-day reports but to examine the breakdowns within the day.

What is parking occupancy rate, and why is it not enough on its own?

As a basic metric, what is the parking occupancy rate? It is simply the mathematical ratio of currently occupied parking spots to total capacity. However, since this metric does not show managers ‘when,’ ‘in which region,’ and ‘for how long’ it is full, it remains insufficient for making strategic decisions. For example, a 90% occupancy rate might look great on paper, but if there is no circulation (meaning vehicles arrive in the morning and leave in the evening), this can mean a serious loss of revenue for a commercial parking lot. What matters is not just the occupancy rate, but how quickly that occupancy is renewed.

Seeing the real picture with parking usage analysis

An in-depth parking usage analysis, which takes an X-ray of the business, clearly reveals the average dwell times of vehicles, peak hours, and customer profiles. When demand increases, which regions are preferred more, or which customer type (subscribers vs. guests) is intense is understood through this analysis. This analysis provides the fundamental data needed to create dynamic pricing models and make correct capacity allocations. Every pricing or capacity change made without data-driven analysis carries a great risk for the business.

What problems does a lack of data in parking management lead to?

Unfortunately frequently seen in traditional parking management, the lack of data in parking management pushes the business into a ‘blind flight’ and prevents it from seeing the future. Whereas in the modern world where competition is intense, data-driven parking management is the only key to profitability, sustainability, and high customer satisfaction. A business without data can never know who its customer is, when they will come, and why they didn’t come. This leads to the inability to detect revenue leaks and missing marketing opportunities.

Operational consequences of non-data-driven decisions

When data-driven decision-making processes are not applied in businesses, personnel shift planning is done incorrectly, and energy is wasted with unnecessary lighting and ventilation. Also, maintenance and repair processes are disrupted because it is not known which equipment is used how much. Data-less management is busy dealing with instant crises and complaints that arise that day instead of making long-term strategic plans. This turns the business into a structure without vision, clumsy, and unable to keep up with change.

Reactive management vs. proactive management difference

In modern parking, proactive parking management allows taking necessary precautions using available data before a problem even arises. For example, anticipating the density before a concert or match event in the region, the number of entry personnel can be increased or exit barriers can be kept open. In contrast, reactive management tries to find a solution after traffic is locked inside the parking lot and customers start complaining, which is usually too late. While proactive management turns a crisis into an opportunity, reactive management is crushed under the crisis.

Why is real-time parking data critical?

Real-time parking data is of vital and indisputable importance to prevent inner-city chaos and direct drivers to the most correct point. When instant parking data is transmitted to the driver via mobile navigation applications and digital signs (VMS) in the city, the parking search time is minimized. When the driver knows whether there is space there before going to the parking lot, they change their route or update their plan. This transparency both reduces the traffic load and increases the driver’s trust in the business.

Is capacity management possible without instant data?

To speak definitively, every operational action taken without capacity management with instant data is based on guesswork and has a very high margin of error. Instant data transparently reveals the current situation (occupancy, malfunction, density), allowing operators to intervene immediately. In a place where there is no data flow, not knowing which floor is empty and directing vehicles to full floors inevitably creates congestion inside. Real-time management ensures the parking lot breathes like a living organism.

The effect of real-time data on decision-making processes

For managers, decision-making processes with data become incredibly fast and sharp. Which floor is completely empty, and which entrance gate is overly crowded can be seen with instant heat maps, and automation systems balance the load by directing traffic to emptier areas. This dynamic management eliminates human error and maximizes operational speed. Instant data is the only way to determine the right strategy within seconds in times of crisis.

What happens when parking capacity is not used efficiently?

If parking capacity is not used efficiently in a city or business, the heavy price for this is paid not only by the business owner but by the entire city and citizens. The results of inefficient parking use not only reduce business turnover but also negatively affect environmental factors, air quality, and city life. An inefficient parking lot is like a clot creating a blockage in the city’s veins.

Traffic, time loss, and user dissatisfaction

Traffic directly caused by parking increases users’ stress levels and lowers daily quality of life. Vehicle queues waiting at the parking entrance disrupt the general city traffic flow by spilling onto the main arteries outside, not just the parking lot, and cause serious time losses for innocent drivers as well. This creates a serious loss of reputation for the parking business and destroys customer loyalty. A dissatisfied driver will not prefer that parking lot again and shares their negative experience with their circle.

Hidden costs and impact on urban mobility

Operational inefficiency creates invisible hidden costs of parking: Millions of liters of wasted fuel, air pollution caused by increased exhaust gas, and road infrastructure worn out by stop-and-go traffic. Urban mobility slows down, logistics processes and cargo deliveries are disrupted, which slows down commercial life. Therefore, inefficient parking management is actually a major blow to the city’s economy.

How to correctly forecast parking demand?

For a parking business, foreseeing the future is much more valuable and strategic than managing instant capacity. So, how is error-free parking demand forecasting done? The answer lies in the complex analysis of not only historical data but also external factors. Comprehensive parking demand analysis directly affects new investment decisions, pricing policies, and personnel employment. Artificial intelligence steps in here, revealing patterns that humans cannot see.

Why does traditional demand forecasting fall short?

Looking only at the data of “how much turnover did we make this month last year” creates traditional demand forecasting problems and is misleading. Methods that do not account for dynamic variables such as rainy weather, local events in the city, school holidays, or nearby roadworks always remain incomplete. Trying to predict a dynamic city life with static data is impossible under today’s conditions.

The role of behavioral data in demand forecasting

Behavioral data analysis, which examines the individual habits of drivers, allows for understanding the character and spirit of demand. Data such as commute times, weekend shopping habits, and dwell times show in advance when demand will peak. For example, knowing that there will be density at cinema exit times in a mall parking lot is behavioral data. In light of this data, the business can complete its preparation before the density begins.

What is the relationship between traffic congestion and parking management?

In urban planning, the relationship between traffic congestion and parking, which are two inseparable parts, is usually handled separately and ignored. However, research proves that the phenomenon of parking-induced traffic is one of the main causes of congestion in city centers. A parking lot is not a point where traffic ends, but a center where traffic management begins.

What is parking search traffic?

Parking search traffic, frequently mentioned in the literature, is actually the artificial and unnecessary density created by drivers who have reached their destination but cannot find a safe place to leave their vehicle. These vehicles slow down flowing traffic and increase the risk of accidents by moving slowly, making sudden stops, and changing lanes. It is known that 30% of traffic on the busiest streets of the city consists only of vehicles looking for parking spots. Eliminating this traffic is more effective than widening the road.

How is parking-induced traffic measured?

Today, advanced traffic measurement methods can clearly detect how many laps a vehicle makes around a parking lot via License Plate Recognition Systems (LPRS) and IoT sensors. A vehicle passing in front of the same camera 3 times within 5 minutes is proof that it is looking for a parking spot. This data is of critical importance for measuring the magnitude of the problem and for municipalities to develop correct parking policies. A problem that cannot be measured can never be solved.

Why is traffic and parking integration necessary?

A holistic and permanent solution cannot be produced without fully ensuring traffic and parking integration in smart city management. Integrated parking systems must talk to the city’s traffic signalization systems to direct vehicles from the most suitable route to the nearest empty parking lot. When traffic lights and parking occupancy sensors speak the same language, city traffic can be managed like an orchestra.

Problems caused by separately managed systems

Problems of non-integrated systems, where the municipality’s traffic unit and the parking business do not communicate, lead to serious lack of coordination. For example, a parking lot on a route with low traffic density being full, while a parking lot where traffic is locked is empty, drives the driver into complete chaos. When data sharing is not done, drivers are misdirected, and urban mobility is paralyzed.

Contribution of the integrated approach to urban flow

Transferring parking occupancy data to navigation systems like Google Maps or Yandex tremendously improves the quality of urban traffic flow. When the driver reserves their parking spot before leaving their home or knows the occupancy status, they head directly to the target, and unnecessary circulation in traffic ends. This integration eliminates the driver’s stress of “will I be able to find a spot?” and contributes to traffic safety.

At which points does artificial intelligence solve the parking problem?

The question of how artificial intelligence solves the parking problem, which is the latest point technology has reached, is no longer science fiction but today’s reality. AI recognizes complex patterns and produces decisions by analyzing data of a size that the human mind cannot process within seconds. AI parking management transforms the parking lot from being just a concrete area into a dynamic, thinking, and responsive service.

Real use cases of AI in parking management

Today, AI parking use cases are quite extensive; it provides ticketless and wait-free passage with high-accuracy license plate recognition. It manages demand with dynamic pricing algorithms and plans operations by forecasting occupancy. Additionally, it performs anomaly detection (incorrect parking, suspicious package, accident, etc.) by processing images from security cameras and maximizes security.

The difference between prediction, optimization, and automation

Conceptually, the trio of AI, optimization, and automation have different but complementary functions. Automation performs physical tasks like lifting the barrier without human intervention; prediction tells tomorrow’s density by looking at historical data. Optimization is planning mathematically how to fit the most vehicles into the limited available capacity most efficiently. True artificial intelligence is the system that can manage all three simultaneously.

What data do AI-supported parking models use?

The success of an artificial intelligence model depends on data; successful AI-supported parking models must be fed with accurate, clean, and diverse data. AI models for parking process not only entry-exit numbers but also multi-layered data sets ranging from weather to traffic density in the city, from public holidays to local concerts. So, what is the artificial intelligence parking data that feeds these models?

Historical, real-time, and contextual data

For a comprehensive big data parking analysis, three main sources are blended: First is the occupancy trends and seasonality data of past years. Second is the hot and live data coming from current sensors. Third is external (contextual) data such as events in the city, road conditions, and weather. AI combines these three sources to forecast with over 95% accuracy.

Data types affecting model accuracy

In artificial intelligence systems, the result is directly proportional to machine learning data quality; the “garbage in, garbage out” rule applies here too. Dirty, missing, timestamp-errored, or incorrectly labeled data causes artificial intelligence to make wrong predictions and disrupts the operation. Therefore, the calibration of sensors in the field, the cleanliness of cameras, and data transmission speed are vitally critical at this point.

How do smart parking systems work?

Users and investors frequently wonder technically how smart parking systems work. Basically, these systems convert movements in the physical world (a vehicle entering the park) into digital data (1s and 0s). IoT-based parking technologies form the heart of this transformation by turning each parking spot into a data point connected to the internet with the principle of the Internet of Things.

IoT, sensors, and data flow

IoT-based parking systems at the endpoints of the system detect whether each parking spot is full or empty within milliseconds using magnetic sensors buried in the ground, overhead cameras, and ultrasonic detectors. These sensors transmit the status data (Full/Empty) they collect to cloud servers via wireless networks (LoRaWAN, NB-IoT). The data processed in the cloud falls instantly onto a management panel or user application.

Key components of digital parking management

Integrated digital parking management consists of three main layers; physical hardware in the field (barrier, sensor, camera), cloud-based software that processes and interprets the data, and the interface presented to the end-user (mobile app, payment kiosks, web panel). When these three components work in sync, parking management becomes autonomous and provides flawless service 24/7 without the need for human intervention.

How is parking capacity optimization done?

In situations where new space cannot be created, parking capacity optimization is essential to use the existing space in the best way and is the most economical solution. Capacity management is the most important factor increasing revenue for parking businesses because every minute that cannot be sold is lost revenue. Optimization is the art of selling the available resource at the highest value.

Establishing the demand-capacity balance

Scientific capacity planning aims to increase occupancy by applying incentive discounted prices during dead hours when demand is low. Conversely, during hours when demand is very high, high tariffs that increase circulation are applied to prevent long-term parking, and balance is achieved. This dynamic balance ensures both customer satisfaction and maximizes revenue.

Ensuring efficiency without increasing capacity using AI

Efficiency and revenue increases of up to 20% can be achieved by doing capacity management only with AI, without doing any construction. Artificial intelligence analyzes vehicles according to their dimensions; it prevents space loss by directing small vehicles to narrower areas and large SUVs to wide areas. It also manages the density at entrances to speed up the flow inside, thus allowing service to more vehicles within the same time.

Differences between digital parking management and traditional methods

The most fundamental difference between modern digital parking management and traditional parking management is “traceability” and “transparency.” While the traditional system is entirely based on paper tickets, cash, and human initiative, the digital system offers big data, mobile payment, and a contactless experience. In the comparison of digital parking vs. traditional parking, the winner is always speed, security, auditability, and user comfort. In digital management, there are no leaks, no errors, and no waiting.

What does parking management software do?

For professional operators, the answer to the question of what parking management software does is that it is the “brain of the business.” These software programs provide revenue control, prevent leaks, automate subscriber management, offer detailed reporting, and allow remote access to the system from anywhere in the world. It ensures the entire operation is managed from a single screen, personnel performance is measured, and customer habits are analyzed. Management done without software is like a human without a memory.

Why is parking usage analysis more effective than capacity increase?

So, why is parking usage analysis important and why is it more valuable than new construction? Because small operational changes made based on correct analysis (for example, changing the entrance direction or arranging the price tariff) give much faster and more effective results than construction investments worth millions of liras. Changing and directing user behavior is always easier, cheaper, and greener than pouring new concrete. Analysis goes to the source of the problem; construction only postpones the result.

How are smart cities reducing the parking problem?

Smart cities, the vision of the future, approach the parking problem not piece by piece, but with integrated and holistic solutions. Smart city parking solutions integrate parking with public transportation (Park & Ride systems); thus, the citizen leaves their vehicle on the periphery of the city and continues to the center by metro. This strategy reduces the vehicle load in the city center, relieves traffic, and encourages public transportation use. The smart city is a city that centers on people, not vehicles.

Why is sustainable parking planning important?

For a green and livable future, sustainable parking planning is no longer a choice but a necessity. Sustainable parking solutions do not just park vehicles; they integrate electric vehicle charging stations, produce their own energy with solar panels, and use rainwater harvesting systems. These eco-friendly structures, which lower the carbon footprint, aim to meet the city’s needs without harming nature. The parking lot of the future will also be an energy station.

How to manage the parking capacity problem permanently?

In summary, there is no single magic wand or single technological product in the search for a permanent solution to the parking problem. The answer to how parking management is done is hidden in selecting the right technology, getting artificial intelligence support, and combining data-driven strategies with human intelligence. Parking capacity management should be handled as a dynamic process that is not a system set up once and left, but one that lives, feeds on data, and constantly learns.

Frequently Asked Questions (FAQ)

1. How is parking capacity managed in the face of the increasing number of vehicles?

The answer to how parking capacity is managed amidst the increasing number of vehicles lies not in constantly expanding physical areas, but in increasing the efficiency of the existing area with technology. Using Artificial Intelligence and IoT sensors, occupancy rates are monitored instantly, and vehicles are quickly directed to empty spots. Demand is spread throughout the day with dynamic pricing strategies. With smart guidance systems, capacity efficiency is maximized, serving more vehicles in the same area.

2. Why is parking capacity insufficient?

Parking capacity insufficiency usually stems from parking areas being used inefficiently rather than the area being physically small. Low vehicle turnover, vehicles remaining parked for longer than necessary, and lack of guidance reduce capacity. Additionally, incorrect and irregular parking leads to the inability to fully use existing capacity.

3. How is the parking occupancy rate analyzed and why is it irregular?

The most reliable answer to how the parking occupancy rate is analyzed is the processing of real-time sensor and camera data placed in the parking lot. The problem of irregular occupancy in parking lots stems from demand fluctuations developing depending on people’s working hours, social events, and seasonal habits. These irregularities are made predictable in advance by analyzing them with artificial intelligence algorithms.

4. How is parking demand forecasting done?

For operators wondering how parking demand forecasting is done, the most definitive solution is machine learning technologies. Not only past usage data; but weather, traffic density, public holidays, and local event data are also analyzed to predict future demand with over 95% accuracy. In this way, personnel and resource planning is done without errors.

5. How does artificial intelligence solve the parking problem?

How does artificial intelligence solve the parking problem? AI instantly detects empty spots via cameras and directs drivers to the nearest point, ending search traffic. It also allows the business to take proactive measures by making future demand forecasts. It optimizes operational processes by managing demand with dynamic pricing and eliminates human error.

6. How do smart parking systems work?

At the basis of the question of how smart parking systems work lies the Internet of Things (IoT) technology. Sensors placed on the ground or ceiling detect the status of the parking spot and send this data to the cloud system. The processed data transmits the “There is an Empty Spot Here” information to the user via mobile apps or digital road signs.

7. How is real-time parking data collected and used?

How is real-time parking data collected? It is collected from the field with high-resolution cameras, License Plate Recognition Systems (LPRS), and ultrasonic ground sensors. For data-driven parking management, this data is used in instant occupancy analysis, dynamic pricing decisions, and driver information services via mobile applications.

8. Why is it so hard to find a parking spot in big cities?

The question of why it is hard to find a parking spot in the city is related to rapid and unplanned urbanization and uncontrolled increasing vehicle ownership rates. The problem of not being able to find a parking spot in big cities actually stems not from the lack of empty spots, but from the lack of smart and integrated systems directing drivers to those empty spots.

9. What is the relationship between traffic congestion and the parking problem?

The relationship of traffic congestion with parking is much more direct and strong than thought. According to research, approximately 30% of dense inner-city traffic consists of vehicles searching for a place to leave their vehicle (parking search traffic) that have arrived at their destination. The traffic problem cannot be solved without solving the parking problem.

10. Why is traffic and parking integration important?

Why is traffic and parking integration important? Because non-integrated systems increase traffic chaos and queues by directing drivers to parking lots that are already full. One of the biggest answers to the question of why inner-city traffic cannot be solved is that municipal traffic systems and parking data are not integrated with each other.

11. How should parking planning be done in big cities?

The question of how parking planning should be done in big cities requires a completely data-driven approach covering the future. Results of wrong parking planning return as millions in investments remaining idle in the wrong points of the city and unsolved traffic knots on the other side. Planning should be human-focused, not vehicle-focused.

12. Why can’t municipalities solve the parking problem?

Why can’t municipalities solve the parking problem? Usually, problems cannot be radically solved due to a lack of data in parking management, budget constraints, and a reactive management understanding aimed only at saving the day. Since temporary measures are taken instead of long-term master plans, the problem continues to grow.

13. How are municipalities solving the parking problem?

How are municipalities solving the parking problem? Visionary municipalities are solving it by connecting all parking lots to an IoT-based central management system within the scope of the smart city concept. They are also reducing the number of vehicles entering the city center by integrating parking lots with public transportation (P+R).

14. How is parking capacity optimization done?

The parking capacity optimization solution is provided by operational capacity management rather than physically knocking down walls and rebuilding the area. Smart layout plans according to vehicle types (small, large, electric) and timed parking limits are the most important parts of optimization.

15. How are smart cities solving the parking problem?

How are smart cities solving the parking problem? Smart city parking solutions combine all public and private parking data in the city into a single digital network. It offers drivers the opportunity to reserve the nearest, cheapest, and most suitable empty spot in advance, eliminating uncertainty in traffic.