Urban road network shortest path acquisition method based on angle limitation and bidirectional search

Abstract

The invention discloses an urban road network shortest path acquisition method based on angle limitation and bidirectional search. The method comprises the following steps: 1, constructing an urban network according to real-time road condition information; 2, introducing a forward search boundary internal and external intersection set UnF, a backward search boundary internal and external intersection set UnB, a bidirectional boundary intersection set Mn and travel time upper and lower bounds T; 3, updating the intersection sets UnF and UnB inside and outside the forward and backward search boundaries of the sets; 4, obtaining the shortest path from the starting point to the destination point through the intersections in the intersection set Mn of the bidirectional boundaries by a label correction method; and 5, if the travel time of the shortest path is equal to the lower bound T of the travel time or the intersection set UnF and UnB in the forward and backward search boundaries are not updated any more, acquiring the shortest path, or otherwise, returning to the step 3. According to the method, angle limitation and bidirectional search are added in navigation of the urban road network, so that the search range is effectively narrowed; therefore, the navigation efficiency is improved, and a faster and more efficient driving path can be provided.

Description

technical field [0001] The invention belongs to the field of navigation optimization of the existing urban road network, in particular to a method for obtaining the shortest path of the urban road network based on angle limitation and bidirectional search. Background technique [0002] With the development of society, Internet-based traffic navigation has brought more and more convenience to users. Users can input their own starting point and destination at the beginning of navigation, and then they can obtain the route automatically planned by navigation products. However, as the number of cars in cities gradually increases, the construction of road networks is relatively lagging behind, traffic resources are wasted, and travel efficiency is low. Loss. Therefore, it is necessary to study a route navigation method to improve the travel level and the utilization rate of the urban road network. With the development of GPS, network technology, and computer technology, the con...

AI Technical Summary

Problems solved by technology

[0003] In the current urban road network, roads of various grades (express roads, main roads, secondary roads, and branch roads) are intertwined, and road grade factors seriously affect all aspects of the navigation itinerary. The current navigation products are often not effective in the navigation process. Using this factor to improve the timeliness of the navigation process seriously affects the driver's travel experience and the utilization efficiency of the urban road network.

In addition; in the path search stage of the specific navigation process, the existing path search methods are often based on real-time road network information to carry out path search in a single direction from the start point to the end point in the global scope. This path search method does not take into account The directionality of the driver's driving in the navigation reduces the timeliness of the route search in the navigation process and the degree of matching with the driver's travel intention

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