Digital-map-based urban traffic flow network parallel information system

Abstract

The invention discloses a digital-map-based urban traffic flow network parallel information system. A location-based service (LBS) system is used as a framework, and a browser and Android application are used as a display platform. The system comprises a positioning service module, a road condition service module, a path planning service module and a traffic information prediction module, wherein the positioning service module provides a positioning parameter for the road condition service module and the path planning service module; the road condition service module receives positioning information provided by the positioning service module, and displays the road condition information of an urban region on a digital map; the path planning service module performs path selection service between a starting point and an ending point or between a current position and a destination according to a request of a user to select an optimal path between the starting point and the ending point or between the current position and the destination; and the traffic information prediction module is a core program for predicting traffic road condition information. The system has the advantages that the road conditions of a city can be comprehensively and accurately displayed by road condition service; and real-time road conditions and predicted road conditions are comprehensively taken into account by path planning service, and the optimal path can be accurately planned.

Description

technical field [0001] The invention relates to a parallel information system of urban traffic flow network based on a digital map, which is used for service application of urban traffic information. Background technique [0002] Nowadays, the traffic situation in the city is deteriorating day by day, the roads are often blocked, the vehicles are crowded, and the incidence of traffic accidents remains high, which brings inconvenience to the majority of travelers. Therefore, how to know the road condition information in advance and know an optimal route has become an urgent need for travelers. At present, it has become a trend to display city traffic information on a digital map, and to plan a suitable route on the digital map according to the departure point and destination. However, the road condition information is displayed on the digital map in a qualitative manner. This method divides the traffic flow information in a rough manner and cannot accurately reflect the cong...

AI Technical Summary

Problems solved by technology

However, the road condition information is displayed on the digital map in a qualitative manner. This method divides the traffic flow information in a rough manner and cannot accurately reflect the congestion on the road; the route planning is based on the current real-time traffic conditions. , does not consider the impact of future road conditions on path planning

Images