Internet-of-things-based unmanned vehicle online hailing system and method

Abstract

The invention discloses an internet-of-things-based unmanned vehicle online hailing system and method. Comprising an online car-hailing calling module, an online car-hailing positioning module, a passenger position positioning module, a road condition acquisition module, an online car-hailing order sending module, an online car-hailing route planning module, a passenger common route storage module, a position deviation correction module, a route deviation correction module, a special vehicle route import module and a special vehicle position positioning module. The unmanned vehicle automatic avoidance system has the beneficial effects that a plurality of order receiving routes are screened, the position deviation between the order receiving vehicles and passengers is judged, correction is carried out through landmark information, and if the routes do not accord with the expectation of the passengers, a plurality of midway places are set to re-plan the routes; in the driving process, special vehicles such as ambulances and fire fighting trucks are emergently avoided, rescue time is prevented from being delayed, passengers can be timely received under the condition of no communication, and good travel experience is provided.

Description

technical field [0001] The present invention relates to the field of unmanned driving technology, in particular to an Internet of Things-based unmanned vehicle system and method. Background technique [0002] With the continuous development of science and technology in our country, the living standards of the public are also constantly improving, and everyone's lifestyle is also undergoing earth-shaking changes. Various new technologies have begun to integrate into our daily lives. At present, the online operation of driverless online car-hailing , It also brings new challenges to the traditional online car-hailing and taxi industry. [0003] Motorcycles are banned in first- and second-tier cities in China, but electric two-wheelers and bicycles are not banned in many cities. Taking Shanghai as an example, there are at least more than 1 million electric two-wheelers and bicycles driving on the road during the rush hour every day. In addition, there are still many road secti...

AI Technical Summary

Problems solved by technology

[0003] Motorcycles are banned in first- and second-tier cities in China, but electric two-wheelers and bicycles are not banned in many cities. Taking Shanghai as an example, driving during rush hour every day There are at least more than 1 million electric two-wheeled vehicles and bicycles on the road, and there are still many road sections without special non-motorized lanes. The vehicle is difficult to deal with calmly. In addition, when we usually use the online car-hailing platform to call a car, there will always be a discrepancy between the positioning location and the actual location, which makes the driver unable to pick up the car smoothly. Finally, we have to communicate with the phone to confirm the exact location. Received the situation of the passenger, but if the unmanned driving fails to confirm the correct location of the passenger at the first time, what should I do if the passenger's positioning is deviated, or the positioning is accurate, but the passenger leaves for a while due to something, but the online appointment is not available. If the passenger vehicle has arrived at the predetermined location and the passenger is not there, it is impossible to confirm the exact location of the passenger through telephone communication. In addition, there may be many passengers, but some passengers may get off halfway, but if the online booking of the unmanned vehicle The planned route does not pass through the passenger’s midway drop-off point, so we can usually communicate with the driver to solve the problem. There is still a lack of communication channels for unmanned vehicles on the Internet, and when encountering special vehicles, such as ambulances and fire trucks, we need to be correct. It does give way, but how can the unmanned vehicles on the network guarantee to give way to special vehicles in time, so as not to delay the rescue time

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