Do You Understand Thanos? Here's a Step-by-step Guide to Avoid the Peak Travel Season During the Holiday

The May Day holiday is over. Have you ever calculated where you spent your holiday time? Stuck in traffic? Queuing at tourist attractions? Or waiting for a spot to take photos?

It is said that this four-day holiday gave tourists another chance to experience the Spring Festival travel rush. Train tickets and tickets to popular scenic spots were hard to come by, and scalpers took the opportunity to make a fortune:

Someone joked that after returning from the May Day holiday, they finally understood Thanos' feelings.

Data analysis helps tourists avoid the crowds

Faced with this situation, smart programmers came up with a way to help everyone avoid the crowds.

The programmer obtained data through crawling and analyzed that the most popular attraction for this year's May Day holiday was Shanghai Disneyland, so he decisively chose not to join in the fun.

The above tourist attraction sales ranking results are obtained by analyzing the ticket sales of popular tourist cities on Qunar.com. The specific method is as follows:

By requesting https://piao.qunar.com/ticket/list.htm?keyword=北京, we can obtain information about popular scenic spots in Beijing. BeautifulSoup  To analyze and extract the required information.

Based on the crawled data, we can not only analyze the ticket sales of each scenic spot, but also create a heat map of the scenic spot. Take Beijing as an example:

Baidu Map's open platform is used here. First, you need to register your developer information. There is an "Apply for a Key" button at the bottom of the homepage. Click it to create it.

Since the application type is selected as the browser side, you only need to assemble the data and replace the corresponding HTML code. In addition, you also need to replace the AK that you use to access the application.

Finally, we used the data to compare prices at popular scenic spots so that we can make plans based on our budget.

Another programmer used Python to crawl the scenic spot data of all provinces and autonomous regions across the country, and obtained the national scenic spot heat map during last year's National Day:

With these analyses, you can make reasonable plans for your next vacation, avoid these popular attractions, and don’t have to worry about being stuck in traffic and stuck in a dilemma.

 AI helps scenic spots improve efficiency

In addition to tourists, tourist attractions and food shops are also crowded with people during long holidays.

During the May Day holiday, many scenic spots were crowded with people. The Badaling Great Wall was crowded on the first day of the holiday. 54,000Visitors generated nearly 200,000 tons of garbage on that day. 327,000With so many tourists, one can imagine the spectacular scene.

A popular lobster restaurant in Changsha issued an apology letter, saying that it could not accommodate so many guests, but on the queue list it showed, it was actually 7172  table.

Faced with these problems, many companies are also actively using artificial intelligence to help scenic spots find solutions.

The earliest AI + tourism started from a single scenario in order to promote the intelligence of the tourism industry. For example, we are exposed to voice guides/translators, robot customer service, AR/VR digital guides, etc. in many scenic spots. However, these applications are independent services and still do not fundamentally improve the tourist experience.

In recent years, some domestic companies have taken a new step and started to provide scenic spots and local tourism departments with a full range of operational analysis basis.

For example, Aibee, founded by Dr. Lin Yuanqing, former director of Baidu's Deep Learning Laboratory, combines AI with offline tourism to provideGlobal Tourismsolution.

They connect online and offline data. First, tourists can register and buy tickets by scanning their faces, and their tour process will be tracked after entering the park. During the tour, the scenic spot can use recommendations, pop-ups and other forms to push information and find people for services, thereby promoting secondary consumption by tourists inside and outside the scenic spot.

Aibee's solution involves multimodal AI technologies including computer vision, speech recognition, natural language understanding, big data analysis, etc. The technology is not complicated, but combining these technologies to propose an overall solution will greatly help improve the efficiency and quality of scenic spot services.

At present, Aibee has cooperated with 65 scenic spots including Wudang Mountain, Kanas, and Huashan. Its facial recognition system only takes a few seconds, while the traditional ticket checking method takes at least 30 seconds, and the efficiency of entering the park has increased by about 10 times.

BAT's AI + tourism layout

Faced with the huge tourism market, how can BAT just be content to be spectators?

Tencent: Tencent and Chongqing jointly launched the "Wuling with a Mobile Phone" app in August last year, which involves technologies such as the Internet of Things, cloud computing, big data, and artificial intelligence. Through personalized route customization, expert recommendations, smart customization, and smart guides, it provides tourists with one-stop intelligent services in terms of obtaining travel information, itinerary planning, product booking, travel notes sharing, and special e-commerce purchases.

AliLast year, Alibaba’s first future hotel physical store “FlyZoo Hotel” (Chinese name “菲住布苦”) opened. It is said that this is the world’s first hotel that supports full-scenario facial recognition accommodation, realizing AI intelligent services throughout the entire process from check-in, room experience to check-out.

Baidu: For tourism authorities and scenic spots, Baidu also actively leverages its data and technology advantages in search, profiling, public opinion, knowledge graphs, artificial intelligence, etc. to cover tourists before, during and after their trips, comprehensively deploy tourism big data, and provide visualization platforms (SaaS) and data interface (API) services to help scenic spots improve their precision marketing capabilities, optimize safety management efficiency, improve the quality of tourist services, and guide the overall tourism layout.

So, before you go on vacation next time, you might as well use the power of technology to do a popularity analysis of the scenic spots on your travel list, smartly avoid the crowds, and calmly cross the mountains and seas.