Large data and Internet thinking can effectively ease traffic congestion

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In order to solve urban traffic congestion, different countries in different cities to adopt different methods or methods of combination, summed up mainly two categories, one is through administrative means, one is through economic lever. The former, such as Beijing, by limiting the number of business days to reduce about millions car travel, while providing more public transport subsidies, such as London, the central city of high congestion charges, reduce vehicle access.

These means to a certain extent is effective, but in the context of large data, if the Internet thinking and perspective to observe the traffic congestion problem, perhaps will come to more valuable conclusions, supplemented by countermeasures, so as to prepare for a rainy day, to help fundamentally alleviate traffic congestion.

As China's leading provider of digital map content, navigation and location service solutions, he has accumulated a great deal of traffic data that can provide more decision bases for intelligent transportation. For example, through the real-time data provided by more than 50,000 taxis in Beijing, it is possible to keep abreast of the traffic conditions of almost all major roads in Beijing, and the long-term accumulation of such data has formed a "hot attempt" for traffic in Beijing, which can then be analyzed as to what period of congestion is serious.

In addition, from the user behavior data on the gold map, the proportion of users using pedestrian and bus route planning is significantly lower than that of driving route planner, which shows that the proportion of green travel is not high enough. With this traffic "hot try" and the low proportion of green travel conclusions, the relevant government departments on the one hand in urban planning and construction, it can be reasonable layout reasonable construction, so that the measures of plugging in the beginning was taken into account, on the other hand can be considered for green travelers to provide more convenience, such as the development of a perfect bicycle road, Provide free and convenient bike sites, spend more on public transport subsidies and so on.

Traffic "heat-seeking" can reflect the congestion of the regional road sections in the long period, and the data in the short period is also instructive to the decision-making of traffic and road departments. For example, through a single week of real-time traffic data, Gould found that Monday, Friday, close to the holidays are not limited to the influence of the line, is always the most congested time of the week. For the purpose of limiting the line itself, tail 4 and 9 will be more congested than other times, this may be due to the relatively minimal number of vehicles in the tail, and if this conclusion is consistent with the distribution of vehicle grades registered by the Authority, then the relevant departments may consider adjusting the tail combination of the daily limit to balance the congestion of road loads.

The large data of the high gold map not only provides the relevant management department with the decision-making basis, but also provides the data basis for individual travel. Through large data analysis of traffic conditions, gold map to provide users with the function of avoiding congestion, guide users to Smooth road sections dispersed, through this active route "adjustment", each of the traffic participants in order to alleviate the overall traffic congestion status and make contributions, which generated some kind of "cluster intelligence"- A single individual's travel is random and uncontrollable, and once each traffic participant is "connected" in a way to form a large group that can share traffic information in real time, then this group has some kind of "intelligence", through mutual influence to achieve self-regulation and self optimization, and the result will certainly be in the direction of reducing congestion.

Therefore, the development of Internet and mobile Internet can be considered as a good opportunity to solve traffic congestion. In the past, the idea of blocking is often focused on restriction or control, and the Internet's thinking and perspective is focused on the group traffic Behavior Data Mining and utilization, the former equivalent to the computer field of the central control of the calculation, the latter equivalent to the network era of distributed computing, network nodes, the traffic situation is more sensitive to the change, the calculation efficiency is also higher.

The premise of the "swarm intelligence" effect is that enough traffic participants are "connected" and that the sharing of traffic information is immediate and voluntary. In this respect, Gould is also trying to lay out and get through the data, the gold map has allowed users from Sina Weibo to share the traffic on the map in real time, and other users of the High German map can observe it, which is similar to the foreign "Waze" mode, where each user is both a generator of traffic information and a provider of traffic information, So that the Internet is connected to each other and affect the way to reduce traffic congestion.

Of course, the cause of traffic congestion is complex, and often multiple, in addition to the past commonly used or now still use the method, from the Wu suggested that the relevant departments from the big data and Internet thinking and perspective, re-examine and study the causes of traffic congestion, and under the guidance of large data, To ease traffic congestion design more efficient plugging scheme, and Gould is willing to share his data resources, to alleviate traffic congestion efforts.