Intelligent traffic method and system and management server

Abstract

The invention discloses an intelligent traffic method and system and a management server. The method can solve urban traffic congestion and improve passenger travel comfort and convenience. The method comprises the following steps: based on received riding request information sent by a user terminal and including a first upper station to which passengers are about to ride and a first lower station to which the passengers are about to arrive, arranging idle first unit cars which are to be grouped and are located at the first upper station for the passengers; if it is determined that first marshalling carriages exist, connecting the first unit cars taking the passengers into the first marshalling carriages in series, and controlling the obtained new first marshalling carriages to run on the road between the first upper station and the first lower station; and when it is determined that the distance between the new first marshalling carriages and the first lower station is within a second preset range, controlling the first unit cars to be separated from the new first marshalling carriages, keeping the running path of the new first marshalling carriages separated from the first unit cars unchanged, and controlling the first unit cars to run to a first parking space of the first lower station.

Description

technical field [0001] This application relates to the technical field of intelligent transportation and urban road traffic, in particular to an intelligent transportation method, system and management server. Background technique [0002] At present, public transportation mainly consists of subways, large buses, taxis, and online car-hailing services. Due to the high cost of taxis and online car-hailing, it is not convenient to be used as a commuting tool for a large number of urban residents. The layout of large-scale bus lines is limited by road capacity and the total amount of public resources, and there is a certain interval between each bus. The distance between stations on the same line is generally 500 meters to 800 meters, and there are many midway stations. Therefore, urban residents spend a lot of time waiting for the bus and taking the bus. When there are many people, the car is crowded and the travel experience is poor. Large-scale buses occupy more road resou...

AI Technical Summary

Problems solved by technology

Due to the high cost of taxis and online car-hailing, it is not convenient to be used as a commuting tool for a large number of urban residents

The layout of large-scale bus lines is limited by road capacity and the total amount of public resources, and there is a certain interval between each bus. The distance between stations on the same line is generally 500 meters to 800 meters, and there are many midway stations. Therefore, urban residents spend a lot of time waiting for the bus and taking the bus. When there are many people, the car is crowded and the travel experience is poor.

Large-scale buses occupy more road resources, and their entry and exit have a great impact on urban road traffic, aggravating urban road traffic congestion

Therefore, many qualified urban residents choose to buy private cars, and a large number of urban residents choose to buy electric vehicles, which worsens the current situation of road traffic congestion in large cities

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