We have already discussed how the drivers can avoid traffic jams. Of course, this issue is important, however, it would be better not to solve the problem but to prevent it.
According to the report of the Department of Urban Planning at the University of California, from 8% to 74% of road traffic in the central areas of major cities consists of drivers looking for a parking space.
The report says that drivers at such large cities as San Francisco, Sydney, New York and London spend up to 14 minutes to find a parking space. Moreover, these people live in good weather conditions compared to Moscow winters.
Is there a modern solution to this dilemma? It turns out that there are a lot of solutions!
In Los Angeles, for example, city authorities have installed a number of small sensors in the streets of the most "dense" areas of the city. These road trackers have a size of a plastic cup and are built into the asphalt. They evaluate the conditions of parking space and collect data from the entire city into a single system. As the result, drivers thanks to free access to a special application find space just in a few minutes.
According to the report of the developers, city authorities repaid the installation of sensors in 3 months (!!!) after system integration. It is simple: in addition to the benefits to drivers as regard the parking problem, the information from the sensors is interesting for the authorities due to a number of other urban problems. Analysis of accurate data on urban traffic allows you to take the necessary decisions on the installation of additional parking machines, changes in road signs and markings, on air pollution issues, etc.
We have already talked about the service Waze. It is a kind of useful social network for drivers. New Yorkers have a similar crowdsourcing assistant helping them to search a free parking space.
The guys having developed this application have become the winners of competition on technological ideas of how to use the city's database, which the authorities of New York opened for commercial use.
Such megalopolises as Paris, San Francisco and Washington opened their city databases for mobile developers long ago. As a result, drivers and pedestrians in these cities have a lot of smart assistants such as Roadify, NextStop or BestParking.
Another difficult to implement, but obvious solution to the problem of traffic jams in big cities is a "smart" traffic light control system. Imagine that traffic lights could calculate the time of each colour based on their current position on a particular road section and a road system of the city as a whole.
Smart traffic lights receive commands from the unified analytical centre that on the base of data from multiple cameras throughout the city offers ready algorithms. Such system exists, for example, in Toronto:
These technologies are not a fantasy. The question is as follows: what will be the next step? It is expected that with the development of the "connected car" technology, traffic lights will not have to predict and adapt the traffic, they will be able to identify cars' route and on the basis of such data to coordinate the movement at the crossroads.
The so-called V2V communication will allow vehicles and road signs to transmit data to each other and thus avoid traffic jams and reduce accidents on the roads.