Road traffic network emergency evacuation route generation method based on Internet of vehicles

Abstract

The invention discloses a road traffic network emergency evacuation route generation method based on the Internet of vehicles. The method involves a vehicle-mounted device, a roadside device, a network background server device and a vehicle emergency evacuation route decision making model. A wireless data communication module of the vehicle-mounted device broadcasts vehicle information to the roadside device through a wireless network, the roadside device performs statistics on the vehicle information of the road section and the local road network region, and the vehicle information is transmitted to the network background server in a wired data communication mode; a multi-target vehicle emergency evacuation route optimal decision making model is established and resolved by a vehicle emergency evacuation route planning module of the network background server with the minimum evacuation total travel distance, the minimum evacuation travel time and the minimum road section congestion probability as the targets, and an optimal route is obtained to guide vehicles in a dangerous region to be evacuated to a safe region. The road traffic network emergency evacuation route generation method based on the Internet of vehicles has the advantage that a real-time, safe, reliable and efficient emergency evacuation route can be provided for vehicles in the road traffic network.

Description

technical field [0001] The invention relates to the fields of intelligent traffic system, mobile wireless communication technology, and traffic organization and management technology, and specifically relates to a method for generating emergency evacuation routes for road traffic networks based on Internet of Vehicles. Background technique [0002] In recent years, the pace of modernization of large and medium-sized cities in my country has been accelerating, and the increasing population density of urban residents has brought a great burden to the urban road traffic network. The travel efficiency of urban residents depends on the road traffic network. When an unconventional event breaks out, the path of traffic emergency evacuation largely determines the effectiveness of the city's emergency evacuation induction and emergency support response work. In the emergency evacuation strategy of traffic flow, the generation of evacuation paths is the premise and key to carry out a ...

AI Technical Summary

Problems solved by technology

In fact, in the traffic emergency evacuation decision-making response, it is necessary to reduce the evacuation travel time and evacuation travel distance as much as possible, and to ensure that the traffic flow on each evacuation path does not congest during the evacuation process to ensure Therefore, the traditional traffic emergency evacuation route generation strategy based on a single optimization objective is not conducive to ensuring the safety, efficiency and reliability of traffic flow in the emergency evacuation process

In addition, the traffic emergency evacuation model relied on by most traffic emergency evacuation route generation strategies needs to assume that the input rate of road network traffic flow obeys a certain known probability distribution, such as Poisson distribution, Erlang distribution, etc. The basic preconditions, this kind of hypothetical basic preconditions can not be well matched with the actual traffic flow scene, so the potential application failure of this kind of mathematical model and the traffic emergency evacuation route generated

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