示例#1
0
        public LinkedList <Vertex> getPath_VertexList(Graph g)
        {
            LinkedList <Vertex> results = new LinkedList <Vertex>();
            Edge e1 = g.getEdge(this[0]);
            Edge e2 = g.getEdge(this[1]);
            Edge e  = null;

            if (e1.To.Equals(e2.From))
            {
                results.AddLast(e1.From);
                results.AddLast(e1.To);
                results.AddLast(e2.To);
            }
            else if (e1.To.Equals(e2.To))
            {
                results.AddLast(e1.From);
                results.AddLast(e1.To);
                results.AddLast(e2.From);
            }
            else if (e1.From.Equals(e2.To))
            {
                results.AddLast(e1.To);
                results.AddLast(e1.From);
                results.AddLast(e2.From);
            }
            else
            {
                results.AddLast(e1.To);
                results.AddLast(e1.From);
                results.AddLast(e2.To);
            }

            for (int i = 2; i < this.Count; i++)
            {
                e = g.getEdge(this[i]);
                if (results.Last.Value.Equals(e.From))
                {
                    results.AddLast(e.To);
                }
                else
                {
                    results.AddLast(e.From);
                }
            }

            return(results);
        }
示例#2
0
        public List <Edge> getPath_EdgeList(Graph g)
        {
            List <Edge> results = new List <Edge>();

            foreach (int id in this)
            {
                results.Add(g.getEdge(id));
            }

            return(results);
        }
        public void Mapmatching_HMM(Graph G)
        {
            m_graph = G;
            string patha = @"F:\map matching\frechet dictance\trajectories\traindata\clean.txt";

            Program.writetxt(_trj, patha);

            if (_trj == null || _trj.Count == 0)
            {
                throw new ArgumentOutOfRangeException("trajectory",
                                                      "Number of points in trajectory should be higher than zero.");
            }

            int edge_num = G.getEdge().Count;

            //the first edge is from edge of the transition, the second edge is the to edge
            Dictionary <int, Dictionary <Edge, Dictionary <Edge, double> > > transition_from_to = new Dictionary <int, Dictionary <Edge, Dictionary <Edge, double> > >();

            //the first edge is to edge of the transition, the second edge is the from edge
            Dictionary <int, Dictionary <Edge, Dictionary <Edge, double> > > transition_to_from = new Dictionary <int, Dictionary <Edge, Dictionary <Edge, double> > >();


            //存储相邻GPS点的候选路径之间的路径
            Dictionary <Edge, Dictionary <Edge, List <Edge> > > e1_e2_edges = new Dictionary <Edge, Dictionary <Edge, List <Edge> > >();

            Dictionary <Edge, Dictionary <int, double> > emission = new Dictionary <Edge, Dictionary <int, double> >();
            Dictionary <int, List <Edge> > id_candidate           = new Dictionary <int, List <Edge> >();
            Dictionary <Edge, double>      initial = new Dictionary <Edge, double>();

            double minmum_radius  = 40;  // GPS point must be within the 40m of any road segment, or it is regarded as noise
            double maximum_radius = 100; //we calculate transition probability, for any point, we find at least 3 road segments for candidate
            //if we can not find 3 points within 100 meters, stop searching

            double search_radius = 30;    //we start search within 20 meters, if the start search radius is too large, there are two many edges are selected
            //calculating transition probability will cost a lot of time.

            double step = 10;

            double angle_threshod = 360;

            //regard points far away from edges as noise, although it may be due to the low accuracy of the road networks
            #region delete points which are far away from road segments
            for (int i = _trj.Count - 1; i >= 0; i--)
            {
                Point p = _trj[i];

                HashSet <Edge> cands_check_good_point = new HashSet <Edge>();
                searchEdgeWithinRadiusOneStep(G._rtree_edge, p, cands_check_good_point, minmum_radius);

                if (cands_check_good_point.Count == 0)
                {
                    _trj.Remove(p);
                }
            }

            if (_trj.Count <= 1) //must have least two points to calculate the transition prob;
            {
                return;
            }

            #endregion

            #region calculate initial probability
            foreach (int id in G.getEdge().Keys)
            {
                Edge e = G.getEdge(id);
                initial.Add(e, 1);
            }
            #endregion

            #region calculate emission probability
            for (int i = 0; i < _trj.Count; i++)
            {
                HashSet <Edge> cands = new HashSet <Edge>();

                Point p = _trj[i];
                searchEdgeWithMaximumRadiusAngle(G._rtree_edge, p, cands, search_radius, step, leastNum, maximum_radius, angle_threshod);

                foreach (Edge e in cands)
                {
                    Stopwatch st1 = new Stopwatch();
                    st1.Start();//开始计时
                    double measurementProb = MeasurementProbability(p, e, 0, 20, 0, 30);

                    st1.Stop();//终止计时
                    emis_time += st1.ElapsedMilliseconds;

                    if (emission.ContainsKey(e))
                    {
                        Dictionary <int, double> pt_prob = emission[e];
                        if (pt_prob.ContainsKey(i))
                        {
                            pt_prob[i] = measurementProb;
                        }
                        else
                        {
                            pt_prob.Add(i, measurementProb);
                        }
                    }
                    else
                    {
                        Dictionary <int, double> pt_prob = new Dictionary <int, double>();
                        pt_prob.Add(i, measurementProb);
                        emission.Add(e, pt_prob);
                    }

                    //存储每个GPS点搜索到的candidate
                    if (id_candidate.ContainsKey(i))
                    {
                        id_candidate[i].Add(e);
                    }
                    else
                    {
                        List <Edge> candis = new List <Edge>();
                        candis.Add(e);
                        id_candidate.Add(i, candis);
                    }
                }
            }

            #endregion

            #region calculate transition probability
            //the transition matrix is alway changed with time t (p1.t, p2.t)
            //when at t = p1.t, based on krum_HMM, there is a transition probability in the matrix
            //when at t = p2.t, based on krum_HMM, there is another transition probability in the matrix
            for (int i = 0; i < _trj.Count - 1; i++)
            {
                Point p1 = _trj[i];
                Point p2 = _trj[i + 1];

                List <Edge> cands1 = null;
                List <Edge> cands2 = null;

                if (id_candidate.ContainsKey(i))
                {
                    cands1 = id_candidate[i];
                }
                if (id_candidate.ContainsKey(i + 1))
                {
                    cands2 = id_candidate[i + 1];
                }

                //searchEdgeWithMaximumRadiusAngle(G._rtree_edge, p1, cands1, search_radius, step, leastNum, maximum_radius, angle_threshod);
                //searchEdgeWithMaximumRadiusAngle(G._rtree_edge, p2, cands2, search_radius, step, leastNum, maximum_radius, angle_threshod);

                if (cands1 == null || cands2 == null)
                {
                    continue;
                }

                bool transition_prob_flag = false;
                foreach (Edge e1 in cands1)
                {
                    foreach (Edge e2 in cands2)
                    {
                        Stopwatch st2 = new Stopwatch();
                        st2.Start();//开始计时

                        double transitionProb = TransitionProbability(p1, e1, p2, e2, G, 0.894, e1_e2_edges);

                        st2.Stop();//终止计时
                        tran_time += st2.ElapsedMilliseconds;

                        if (transitionProb == 0)
                        {
                            continue;
                        }
                        else
                        {
                            transition_prob_flag = true;
                        }

                        #region containner for to from transition
                        if (transition_to_from.ContainsKey(i))
                        {
                            Dictionary <Edge, Dictionary <Edge, double> > e_e_prob = transition_to_from[i];

                            if (e_e_prob.ContainsKey(e2))
                            {
                                Dictionary <Edge, double> e_prob = e_e_prob[e2];
                                if (e_prob.ContainsKey(e1))
                                {
                                    e_prob[e1] = transitionProb;
                                }
                                else
                                {
                                    e_prob.Add(e1, transitionProb);
                                }
                            }
                            else
                            {
                                Dictionary <Edge, double> e_prob = new Dictionary <Edge, double>();
                                e_prob.Add(e1, transitionProb);

                                e_e_prob.Add(e2, e_prob);
                            }
                        }
                        else
                        {
                            Dictionary <Edge, Dictionary <Edge, double> > e_e_prob = new Dictionary <Edge, Dictionary <Edge, double> >();
                            Dictionary <Edge, double> e_prob = new Dictionary <Edge, double>();

                            e_prob.Add(e1, transitionProb);
                            e_e_prob.Add(e2, e_prob);
                            transition_to_from.Add(i, e_e_prob);
                        }

                        #endregion
                    }
                }

                if (transition_prob_flag == false)
                {
                    break;
                }
            }

            #endregion


            Stopwatch st3 = new Stopwatch();
            st3.Start();//开始计时

            HMM hmm = new HMM(transition_to_from, emission, initial);

            double prob;
            Edge[] sequence = hmm.Viertbi(false, out prob);

            st3.Stop();//终止计时
            viterbi_time = st3.ElapsedMilliseconds;

            if (sequence == null)
            {
                return;
            }
            for (int i = 0; i < sequence.GetLength(0) - 1; i++)
            {
                if (sequence[i].Equals(sequence[i + 1]))
                {
                    continue;
                }
                complete_route.Add(sequence[i]);
                if (!sequence[i].isConnectedTo(sequence[i + 1]))
                {
                    if (e1_e2_edges.ContainsKey(sequence[i]))
                    {
                        if (e1_e2_edges[sequence[i]].ContainsKey(sequence[i + 1]))
                        {
                            if (e1_e2_edges[sequence[i]][sequence[i + 1]].Count > 0)
                            {
                                complete_route.AddRange(e1_e2_edges[sequence[i]][sequence[i + 1]]);
                            }
                        }
                    }
                }
            }
            complete_route.Add(sequence[sequence.GetLength(0) - 1]);

            #region convert sequence to road segment with time
            //complete_road_t = new List<Road_Time>();
            //if (sequence != null)
            //{
            //    List<Road_Time> final_road_t = new List<Road_Time>();

            //    List<Road_Time> road_t = new List<Road_Time>();
            //    for (int i = 0; i < sequence.GetLength(0); i++)
            //    {
            //        Road_Time rt = new Road_Time();
            //        rt.road = sequence[i];
            //        rt.T = _trj[i].T;
            //        road_t.Add(rt);
            //    }

            //    GetCompletePath(road_t, ref complete_road_t);

            //    if (complete_road_t.Count > 0)
            //    {
            //        int the_last_road_id = complete_road_t[0].road.ID;
            //        Road_Time rt1 = new Road_Time();
            //        rt1.road = complete_road_t[0].road;
            //        rt1.T = complete_road_t[0].T;
            //        final_road_t.Add(rt1);

            //        for (int i = 1; i < complete_road_t.Count; i++)
            //        {
            //            if (complete_road_t[i].road.ID != the_last_road_id)
            //            {
            //                Road_Time rt = new Road_Time();
            //                rt.road = complete_road_t[i].road;
            //                rt.T = complete_road_t[i].T;

            //                the_last_road_id = complete_road_t[i].road.ID;
            //                final_road_t.Add(rt);
            //            }
            //        }
            //    }

            //    complete_road_t.Clear();

            //    complete_road_t.AddRange(final_road_t);

            //}
            #endregion
        }