Abstract: In a vehicle rear structure, a quarter window area running through a side wall inner panel is provided on the side wall inner panel, and a D-pillar reinforcement panel, a roof crossmember and a roof rail outer panel are connected on an upper side of the quarter window area to form a first force transmission path; a first outer member and a first inner member are both fixed to a lower side of the quarter window area and located on outer and inner sides of the side wall inner panel, respectively; a C-pillar reinforcement upper panel is fixed on the outer side of the side wall inner panel, an upper end of the C-pillar reinforcement upper panel is fixedly connected to the roof rail outer panel.

Abstract: A system and method for traffic prediction based on space-time relation are disclosed. The system comprises a section spatial influence determining section for determining, for each of a plurality of sections to be predicted, spatial influences on the section by its neighboring sections; a traffic prediction model establishment section for establishing, for each of the plurality of sections to be predicted, a traffic prediction model by using the determined spatial influences and historical traffic data of the plurality of sections; and a traffic prediction section for predicting traffic of each of the plurality of sections to be predicted for a future time period by using real-time traffic data and the traffic prediction model. An apparatus and method for determining spatial influences among sections, as well as an apparatus and method for traffic prediction, are also disclosed.

Abstract: A system and method for traffic prediction based on space-time relation are disclosed. The system comprises a section spatial influence determining section for determining, for each of a plurality of sections to be predicted, spatial influences on the section by its neighboring sections; a traffic prediction model establishment section for establishing, for each of the plurality of sections to be predicted, a traffic prediction model by using the determined spatial influences and historical traffic data of the plurality of sections; and a traffic prediction section for predicting traffic of each of the plurality of sections to be predicted for a future time period by using real-time traffic data and the traffic prediction model. An apparatus and method for determining spatial influences among sections, as well as an apparatus and method for traffic prediction, are also disclosed.

Abstract: A method and apparatus for representing a road network and a method and system for processing traffic information data using the method for representing a road network are provided. The method for processing traffic information data comprises: conversion step of converting traffic information data based on road networks of one or more types of road maps into traffic information data of intersections and sections, based on correspondence between the road networks of one or more types of road maps and the road network represented by the intersections and the sections, wherein the road network represented by the intersections and the sections is obtained by the method for representing a road network; and fusion step of fusing the converted traffic information data of intersections and sections to obtain unified traffic information data.