Computer simulation method for intelligent transportation

Abstract

The invention discloses a computer simulation method for intelligent transportation, which utilizes a simulation three-step method of'simulation initialization, cycle period and data collection 'to simulate and collect a large amount of experimental data. A triple positioning method is provided, and the taxi can be rapidly positioned in a computer taxi simulation system; characteristics of sharedtaxies are fully considered, and rich data is recorded by utilizing a taxi schedule, so that data collection, statistics and analysis are facilitated. By combining the automatic driving taxis and thetechnology of the Internet of Vehicles, the automatic driving taxis can be quickly matched with passengers through the Internet of Vehicles, the running automatic driving taxis can be used for knowingtraffic conditions and making predictions, and the true degree of simulation is improved.

Description

technical field [0001] The invention relates to the technical field of computers and transportation, in particular to a computer simulation method for intelligent transportation. Background technique [0002] Taxi service is an integral part of urban transport services. With the concept of "sharing economy" and the vigorous development of Internet of Vehicles technology, the shared travel of self-driving taxis is one of the directions of intelligent transportation reform with great potential. It meets people's increasing travel needs by merging planned trips of similar travel paths into one taxi, without increasing the number of vehicles. [0003] However, in the Internet age, taxi sharing is still in its infancy, and the application of multi-person shared rides is not popular. At present, the research data of self-driving shared taxis in various aspects still need to be supplemented. Among many research methods, computer simulation is one of the important research method...

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Problems solved by technology

However, it only explains the various parameter settings during the simulation; "T-share: A large-scale dynamic taxi ridesharing service" compares four different sharing scheduling strategies through computer simulation, constructs a simulation map, and calculates multiple dynamic list, but its computer simulation framework is more complex and requires a relatively large computational cost

In the above studies, there are merits in the dispatching research and benefit quantification of shared travel through computer simulation, but they have not introduced the method of computer simulation in detail, especially how to design the method of collecting data and vehicle positioning, and have not intuitively solved the problem of taxi ride-hailing. Problems with Computer Simulation of Vehicles

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