Smart cities drive the improvement of overall solutions for smart transportation
Smart cities drive the improvement of overall solutions for smart transportation
Release time：2018-04-14
Views：7752
With the vigorous promotion of smart city construction, smart transportation, smart medical care, smart security, smart energy, etc. have all received great attention. Urban construction, transportation first, smart transportation has become an important driving force for economic development, more integrated into various fields of social life, changing people's way of life and work, and playing an important role in the construction of smart cities. The following is an article by Shao Yuan, Dean of the Shenzhen Urban Transportation Planning and Design Research Center Research Institute (Intelligent Institute) "Overall Solution for Smart Transportation for Future Cities | Building a "4C City"".
Since its establishment 20 years ago, Shenzhen Transportation Center has been committed to the research and development and application of traffic models and traffic big data, and has carried out the planning and design of urban transportation and intelligent transportation. In recent years, we have fully transformed from traditional planning and design research institutions to providers of complete urban transportation solutions. Today, I will report to you the preliminary thinking of the overall solution for smart transportation in future cities. It is divided into two parts. The first is the prospect of future smart cities and smart transportation, and the second is preliminary thinking.
From the perspective of the entire development process of smart transportation, it can be divided into three development stages. In the 1.0 stage, we focus on the research and development of individual products and the application design of functions. The 2.0 stage focuses on the interconnection of big data and breaking down data barriers. The latest stage of the new smart city 3.0 we have entered is a new stage of development of smart cities. It is a new smart city based on the Internet of Everything and service-oriented, emphasizing public participation and government-enterprise cooperation.
McKinsey's research comprehensively summarizes the future development trends of transportation from seven aspects, including shared mobility, automobile electrification, autonomous driving, new public transportation, renewable energy, new infrastructure and the Internet of Things, covering the most core aspects of the future. The future smart transportation is based on the data-driven Internet of Everything and various new modes of transportation are used as carriers to organize new transportation modes. New transportation services are reflected in shared mobility.
The United States mentioned in the "2016-2045 Emerging Technology Trends Report" that the Internet of Things, data mining, and blockchain technology may fundamentally change the way our entire urban transportation travels in the next 10-20 years, so the entire urban transportation industry is also changing.
Focusing on the construction of smart cities in Europe and the United States, the core content of development is the construction of four major systems, including smart perception system, smart decision-making, smart operation, and smart service. In general, future urban transportation must have four key characteristics. The first characteristic is that future urban transportation is a complex giant system, under which a full-system perception system with interconnected, diversified, and multi-dimensional everything must be built. The second is that urban management has moved from passive management in the past to smart governance. After 2000, Shenzhen emphasized the smart growth and smart governance concepts of urban transportation. The premise of smart governance is to have the support of big data, and only based on big data can precise control strategies and service measures be formulated. For example, on specific roads, we can understand what kind of vehicles use our roads through big data, and what factors are sensitive to different time and space, so as to accurately introduce policies to achieve the goal of balanced road network construction. The third characteristic is the concept of mobility proposed by the European Union. There are several core characteristics of mobility planning.
First, our focus has shifted from the improvement of transportation facilities and the speed of movement to the people-oriented accessible transportation quality, including the changes in urban life, health, environment and economic vitality caused by transportation.
Second, future cities will emphasize "urban governance" rather than "urban management", emphasizing the transformation of government services, service coordination and the creation of social value, and urban development will highlight smart governance and smart growth.
Third, the change in thinking mode. Traditional thinking focuses on the construction of independent systems, while new ideas focus more on the coordinated development between systems, the coordination of interests, and especially the participation of the public. Based on big data itself, precise adjustment and closed-loop management from planning to compilation to the whole process can be achieved, forming a more effective governance model.
Fourth, with service as the core, it is reflected in people's travel experience, focusing on the construction of multiple goals centered on people's feelings, especially personalized and experience-oriented seamless travel services throughout the process.
Based on the above four trends, the future city will definitely become a city that can be perceived, operated, controlled and served. These four are reflected in the development of the city as the "4C City", namely the holographic perception city (Perception City), the online deduction city (Deduction City), the smart control city (Managing City) and the full-service city (Serving City).
The first is the holographic perception city. It is necessary to build a multi-level perception system including smart intersections and smart sections based on spatial unit big data, to achieve multi-level, full-time and space-time, accurate to the lane perception, from only focusing on vehicles in the past to further focusing on the perception system including people, vehicles, roads, weather and even the entire traffic operation environment. Shenzhen has built a whole set of new generation of smart road perception systems with elements such as smart lamp poles, smart intersections and smart pavement. Smart lamp poles have multiple functions, including high-definition video, road condition detection and information release, which can realize intelligent monitoring, traffic flow detection, road danger identification, information interaction, multi-target radar tracking and other functions. This is one of the core carriers in the future traffic holographic perception system.
Second, online city simulation. Traffic tracing technology is realized based on big data technology, and the mechanism of the generation and evolution of various modes of transportation is deeply understood. For example, this is to analyze the composition of people in different areas through mobile phone signaling data. In the figure, the dynamic data detection of shared bicycles can be used to understand their use of the last kilometer, including 24-hour monitoring of the flow of people in each area.
Big data and deep learning technology have a large number of applications in the entire traffic texture analysis, traffic practice discovery, public opinion analysis, police patrols, etc. In addition, an online simulation system is established to regress the entire closed-loop activities through data. Shenzhen core area has made a system attempt of online simulation, and a large number of perception systems are deployed on the lanes, including high-definition video. Through the deployment, we can accurately find each vehicle, and in the background traffic brain, we can realistically restore the entire real-time traffic flow situation, make a deduction of traffic plans, including traffic organization plans, and provide a systematic support for the optimization of the entire traffic flow.
This is a real case. The traffic police used an online simulation system in an accident in a tunnel in Shenzhen. Through the real-time online simulation of this system, the upstream traffic was relieved and effective relief was completed within 10 minutes. In the past, without this system, congestion may last for more than half an hour. This is a case discussed at the China Public Security Traffic Police On-site Conference held in Shenzhen this year.
The third is smart control of the city. It is to build a closed-loop control activity with coordinated operation of "planning-design-construction-management-data". A brief introduction is made from three aspects: regional level, city level, and park level.
The core of the regional level is to establish a regional control strategy and system for active demand regulation. In Arizona, the United States provides different groups of people, different travel times, different travel costs and other solutions. Through attempts, the behavior and plans of 20% of travelers have been effectively changed, and the balance of time and space on the road network has been achieved.
Since its establishment 20 years ago, Shenzhen Transportation Center has been committed to the research and development and application of traffic models and traffic big data, and has carried out the planning and design of urban transportation and intelligent transportation. In recent years, we have fully transformed from traditional planning and design research institutions to providers of complete urban transportation solutions. Today, I will report to you the preliminary thinking of the overall solution for smart transportation in future cities. It is divided into two parts. The first is the prospect of future smart cities and smart transportation, and the second is preliminary thinking.
From the perspective of the entire development process of smart transportation, it can be divided into three development stages. In the 1.0 stage, we focus on the research and development of individual products and the application design of functions. The 2.0 stage focuses on the interconnection of big data and breaking down data barriers. The latest stage of the new smart city 3.0 we have entered is a new stage of development of smart cities. It is a new smart city based on the Internet of Everything and service-oriented, emphasizing public participation and government-enterprise cooperation.
McKinsey's research comprehensively summarizes the future development trends of transportation from seven aspects, including shared mobility, automobile electrification, autonomous driving, new public transportation, renewable energy, new infrastructure and the Internet of Things, covering the most core aspects of the future. The future smart transportation is based on the data-driven Internet of Everything and various new modes of transportation are used as carriers to organize new transportation modes. New transportation services are reflected in shared mobility.
The United States mentioned in the "2016-2045 Emerging Technology Trends Report" that the Internet of Things, data mining, and blockchain technology may fundamentally change the way our entire urban transportation travels in the next 10-20 years, so the entire urban transportation industry is also changing.
Focusing on the construction of smart cities in Europe and the United States, the core content of development is the construction of four major systems, including smart perception system, smart decision-making, smart operation, and smart service. In general, future urban transportation must have four key characteristics. The first characteristic is that future urban transportation is a complex giant system, under which a full-system perception system with interconnected, diversified, and multi-dimensional everything must be built. The second is that urban management has moved from passive management in the past to smart governance. After 2000, Shenzhen emphasized the smart growth and smart governance concepts of urban transportation. The premise of smart governance is to have the support of big data, and only based on big data can precise control strategies and service measures be formulated. For example, on specific roads, we can understand what kind of vehicles use our roads through big data, and what factors are sensitive to different time and space, so as to accurately introduce policies to achieve the goal of balanced road network construction. The third characteristic is the concept of mobility proposed by the European Union. There are several core characteristics of mobility planning.
First, our focus has shifted from the improvement of transportation facilities and the speed of movement to the people-oriented accessible transportation quality, including the changes in urban life, health, environment and economic vitality caused by transportation.
Second, future cities will emphasize "urban governance" rather than "urban management", emphasizing the transformation of government services, service coordination and the creation of social value, and urban development will highlight smart governance and smart growth.
Third, the change in thinking mode. Traditional thinking focuses on the construction of independent systems, while new ideas focus more on the coordinated development between systems, the coordination of interests, and especially the participation of the public. Based on big data itself, precise adjustment and closed-loop management from planning to compilation to the whole process can be achieved, forming a more effective governance model.
Fourth, with service as the core, it is reflected in people's travel experience, focusing on the construction of multiple goals centered on people's feelings, especially personalized and experience-oriented seamless travel services throughout the process.
Based on the above four trends, the future city will definitely become a city that can be perceived, operated, controlled and served. These four are reflected in the development of the city as the "4C City", namely the holographic perception city (Perception City), the online deduction city (Deduction City), the smart control city (Managing City) and the full-service city (Serving City).
The first is the holographic perception city. It is necessary to build a multi-level perception system including smart intersections and smart sections based on spatial unit big data, to achieve multi-level, full-time and space-time, accurate to the lane perception, from only focusing on vehicles in the past to further focusing on the perception system including people, vehicles, roads, weather and even the entire traffic operation environment. Shenzhen has built a whole set of new generation of smart road perception systems with elements such as smart lamp poles, smart intersections and smart pavement. Smart lamp poles have multiple functions, including high-definition video, road condition detection and information release, which can realize intelligent monitoring, traffic flow detection, road danger identification, information interaction, multi-target radar tracking and other functions. This is one of the core carriers in the future traffic holographic perception system.
Second, online city simulation. Traffic tracing technology is realized based on big data technology, and the mechanism of the generation and evolution of various modes of transportation is deeply understood. For example, this is to analyze the composition of people in different areas through mobile phone signaling data. In the figure, the dynamic data detection of shared bicycles can be used to understand their use of the last kilometer, including 24-hour monitoring of the flow of people in each area.
Big data and deep learning technology have a large number of applications in the entire traffic texture analysis, traffic practice discovery, public opinion analysis, police patrols, etc. In addition, an online simulation system is established to regress the entire closed-loop activities through data. Shenzhen core area has made a system attempt of online simulation, and a large number of perception systems are deployed on the lanes, including high-definition video. Through the deployment, we can accurately find each vehicle, and in the background traffic brain, we can realistically restore the entire real-time traffic flow situation, make a deduction of traffic plans, including traffic organization plans, and provide a systematic support for the optimization of the entire traffic flow.
This is a real case. The traffic police used an online simulation system in an accident in a tunnel in Shenzhen. Through the real-time online simulation of this system, the upstream traffic was relieved and effective relief was completed within 10 minutes. In the past, without this system, congestion may last for more than half an hour. This is a case discussed at the China Public Security Traffic Police On-site Conference held in Shenzhen this year.
The third is smart control of the city. It is to build a closed-loop control activity with coordinated operation of "planning-design-construction-management-data". A brief introduction is made from three aspects: regional level, city level, and park level.
The core of the regional level is to establish a regional control strategy and system for active demand regulation. In Arizona, the United States provides different groups of people, different travel times, different travel costs and other solutions. Through attempts, the behavior and plans of 20% of travelers have been effectively changed, and the balance of time and space on the road network has been achieved.
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