A large number of traffic safety and traffic efficiency problems can be solved by technology of V2X(Vehicle to X,X can be infrastructure, vehicle, pedestrian and so on).Whilc mapmatching technology is the foundation ...
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ISBN:
(纸本)9781538665800
A large number of traffic safety and traffic efficiency problems can be solved by technology of V2X(Vehicle to X,X can be infrastructure, vehicle, pedestrian and so on).Whilc mapmatching technology is the foundation of many V2X applications. This article focuses on V21 (Vehicle to lnfrastructure)technology, one of the V2X technology. And it proposes a map matching algorithm based on technology of *** vehicles make information interaction by OBU(on board unit).OBU also obtains local logic map data by *** link set is established by local logic map data. And then the matching link can be determined by calculating the candidate link weight. At last,the real vehicle test was implemented in intelligent connected vehicle closed test area in Chongqing. The feasibility of the algorithm was verified by the test.
Global Positioning System (GPS) has found its application in the field of Intelligent Transportation Systems (ITS) in fleet management, prediction of arrival of public transport vehicles, route identification, route n...
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ISBN:
(纸本)9781509042500
Global Positioning System (GPS) has found its application in the field of Intelligent Transportation Systems (ITS) in fleet management, prediction of arrival of public transport vehicles, route identification, route navigation, and many other location based services. map matching algorithms integrate the positioning data received from the GPS, with digital road networks on existing maps. This includes minimizing the error in locating the vehicle on a route, identifying the correct road segment and locating the vehicle's correct position on the road network. This paper presents a weight based map matching algorithm, which can be applied in real-time, for complex urban road networks. The parameters considered in the evaluation of the candidate segments are distance, direction difference and connectivity with the previously identified segment. A comparison between these parameters for the two best road segments was analyzed to identify probable cases of ambiguity in selection of the best segment and a solution to overcome wrong assignments was included in the algorithm. The most noticeable feature about this algorithm is the high accuracy of 96.55% for segment assignment using minimum input variables of latitude and longitude of the vehicles.
At present, the civil aviation industry is developing rapidly. With the rapid growth of transportation business and the continuous expansion of domestic airport scale, the demand for location service to provide accura...
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ISBN:
(纸本)9781728176871
At present, the civil aviation industry is developing rapidly. With the rapid growth of transportation business and the continuous expansion of domestic airport scale, the demand for location service to provide accurate positioning for passengers is increasing. Combined with the Bluetooth signal transmission characteristics in the terminal, a fusion location algorithm based on EKF is designed to improve the continuity of passenger positioning results. Combined with the dense flow of people and different paths, a mapmatching fusion localization algorithm based on particle filter is designed to further improve the positioning accuracy. In the development environment, the positioning software of hub airport terminal is designed and implemented. The experimental verification and result analysis of the proposed algorithm are carried out.
作者：
Gao, PengYang, ZhaoshengHong, DiJilin Univ
Coll Traff & Transportat Changchun 130022 Jilin Peoples R China Jilin Univ
State Key Lab Automobile Dynam Simulat Changchun 130022 Jilin Peoples R China Jilin Univ
Qianwei South Campus Coll Comp Sci & Technol Changchun 130012 Peoples R China
The paper develops the map matching algorithm based on GPS/DR integrated positioning system through the determination of error influence area, the choice of matching road section and the modification of positioning in...
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ISBN:
(纸本)9781424458479
The paper develops the map matching algorithm based on GPS/DR integrated positioning system through the determination of error influence area, the choice of matching road section and the modification of positioning information, and then evaluates the reliability of the matching result through the fuzzy comprehensive evaluation. The algorithm is test with the outdoor in-vehicle experiment and has shown good practical value in real-time in-vehicle navigation system.
The paper develops the map matching algorithm based on GPS/DR integrated positioning system through the determination of error influence area,the choice of matching road section and the modification of positioning inf...
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The paper develops the map matching algorithm based on GPS/DR integrated positioning system through the determination of error influence area,the choice of matching road section and the modification of positioning information,and then evaluates the reliability of the matching result through the fuzzy comprehensive *** algorithm is test with the outdoor in-vehicle experiment and has shown good practical value in real-time in-vehicle navigation system.
A volunteered geographic information system, e.g., OpenStreetmap (OSM), collects data from volunteers to generate geospatial maps. To keep the map consistent, volunteers are expected to perform the tedious task of upd...
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ISBN:
(纸本)9781450354912
A volunteered geographic information system, e.g., OpenStreetmap (OSM), collects data from volunteers to generate geospatial maps. To keep the map consistent, volunteers are expected to perform the tedious task of updating the underlying geospatial data at regular intervals. Such map curation step takes time and considerable human effort. In this paper, we propose a framework that improves the process of updating geospatial maps by automatically identifying road changes from user generated GPS traces. Since GPS traces can be sparse and noisy, the proposed framework validates the map changes with the users before propagating them to a publishable version of the map. The proposed framework achieves up to four times faster mapmatching performance than the state-of-the-art algorithms with only 0.1-0.3% accuracy loss.
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