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            "abstractNote": "From past several years, the interest to use probe vehicles for traffic monitoring is growing. In\nthis paper, vehicles equipped with GPS are used as traffic sensors to collect traffic data (speeds,\npositions and time stamps) in the urban road network. However, due to the low polling frequencies,\ntravel times recorded by probe vehicles are partial link or route travel times. This paper focuses on the\nestimation complete link or route travel times. Two methods are adopted to allocate travel times\ncollected by probe vehicles between two consecutive time stamps into individual links. One method\nwas the probabilistic method developed by Hellinga (1) and the other is distance-proportion method.\nTwo field data sets are used to verify how these two methods perform in different traffic conditions.\nThe results show that for the low traffic demand condition, when the polling interval is low (e.g. 15s,\n30s), both methods can work well. In the case of a high polling interval (e.g. 60s), Hellinga’s method\nperforms worse than distance-proportion method. However, in the high traffic demand condition with\n60s polling interval, Hellinga’s method works better with Mean Absolute Percentage Error (MAPE) of\n11.64% compared with the distance-proportion method with MAPE of 17%. In Hellinga’s method, the\nlink travel time is subdivided into free flow travel time and delay. The sensitivity of the performance\nof the method to different free flow speeds is also investigated in the paper. Results show that in low\ntraffic demand condition with 60s polling interval, free flow speeds have significant influence on the\nestimation results.",
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