Recent advanced transport technologies in vehicle-to-vehicle communications have paved the way fo... more Recent advanced transport technologies in vehicle-to-vehicle communications have paved the way for testing new solutions that would reduce congestion and prevent traffic incidents. The main objective of multiple transport agencies is to improve road safety by providing reliable and flexible solutions to all drivers on the roads. While significant efforts are put together for dealing with regulations and standard adoption, various questions regarding the practical performance and accuracy of such technologies are still to be tackled.
This paper presents the results obtained from an ongoing research investigation focusing on testing the capabilities of Dedicated Short Range Communications (DSRC) to meet critical levels of road safety in terms of positioning accuracy. After previous analysis of positioning accuracy of heavy vehicles on a 42 km test-bed in Illawarra, Australia, we now focus on testing the positioning accuracy as transmitted by two light vehicles, engaged in five different simulation experiments of potential traffic collisions. Firstly, as ground truth is not available, we conduct a comparative analysis of transmitted positioning through Basic Safety Messages by using both Open Street Map and Google Street Map as reference, and show the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the collision alerts broadcasted during the incident demonstrations. The findings indicate that speed, breaking and DSRC installation might influence the successful transmission of collision alerts to the surrounding drivers and can be used as a guideline for future settings of using DSRC equipped vehicles in light vehicles.
Recent developments in advanced transport technologies such as vehicle-to-vehicle communications ... more Recent developments in advanced transport technologies such as vehicle-to-vehicle communications and Dedicated Short Range Communications (DSRC) led to an increased interest in building safety vehicular applications that would prevent traffic collisions. Such applications need a high level of performance and positioning accuracy in order to meet critical levels of road safety. However, there is still a lack of practical performance measurements of DSRC equipped systems, especially on a high number of heavy vehicles operating in large and diverse areas. This paper presents the results obtained from a research investigation undertaken into the capabilities of DSRC technology for meeting the positioning accuracy of road safety applications. The available data sets contain almost 400 million Basic Safety Messages (BSM) transmitted by 58 heavy vehicles equipped with DSRC, operating on a daily basis on a 42 km test bed area in Illawarra, Australia. Firstly, as ground truth is not available, we conduct a comparative analysis of positioning in the transmitted BSMs by using both Open Street Map and Google Street Map as reference, and show that the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the five most active trucks of the fleet, as well as the noise-prone areas in which false collision alerts can be generated. Thirdly, we apply gradient boosted decision trees on the data sets and identify the three most important factors that influence DSRC transmitted positioning error in heavy vehicles.
Recent advanced transport technologies in vehicle-to-vehicle communications have paved the way fo... more Recent advanced transport technologies in vehicle-to-vehicle communications have paved the way for testing new solutions that would reduce congestion and prevent traffic incidents. The main objective of multiple transport agencies is to improve road safety by providing reliable and flexible solutions to all drivers on the roads. While significant efforts are put together for dealing with regulations and standard adoption, various questions regarding the practical performance and accuracy of such technologies are still to be tackled.
This paper presents the results obtained from an ongoing research investigation focusing on testing the capabilities of Dedicated Short Range Communications (DSRC) to meet critical levels of road safety in terms of positioning accuracy. After previous analysis of positioning accuracy of heavy vehicles on a 42 km test-bed in Illawarra, Australia, we now focus on testing the positioning accuracy as transmitted by two light vehicles, engaged in five different simulation experiments of potential traffic collisions. Firstly, as ground truth is not available, we conduct a comparative analysis of transmitted positioning through Basic Safety Messages by using both Open Street Map and Google Street Map as reference, and show the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the collision alerts broadcasted during the incident demonstrations. The findings indicate that speed, breaking and DSRC installation might influence the successful transmission of collision alerts to the surrounding drivers and can be used as a guideline for future settings of using DSRC equipped vehicles in light vehicles.
Recent developments in advanced transport technologies such as vehicle-to-vehicle communications ... more Recent developments in advanced transport technologies such as vehicle-to-vehicle communications and Dedicated Short Range Communications (DSRC) led to an increased interest in building safety vehicular applications that would prevent traffic collisions. Such applications need a high level of performance and positioning accuracy in order to meet critical levels of road safety. However, there is still a lack of practical performance measurements of DSRC equipped systems, especially on a high number of heavy vehicles operating in large and diverse areas. This paper presents the results obtained from a research investigation undertaken into the capabilities of DSRC technology for meeting the positioning accuracy of road safety applications. The available data sets contain almost 400 million Basic Safety Messages (BSM) transmitted by 58 heavy vehicles equipped with DSRC, operating on a daily basis on a 42 km test bed area in Illawarra, Australia. Firstly, as ground truth is not available, we conduct a comparative analysis of positioning in the transmitted BSMs by using both Open Street Map and Google Street Map as reference, and show that the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the five most active trucks of the fleet, as well as the noise-prone areas in which false collision alerts can be generated. Thirdly, we apply gradient boosted decision trees on the data sets and identify the three most important factors that influence DSRC transmitted positioning error in heavy vehicles.
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This paper presents the results obtained from an ongoing research investigation focusing on testing the capabilities of Dedicated Short Range Communications (DSRC) to meet critical levels of road safety in terms of positioning accuracy. After previous analysis of positioning accuracy of heavy vehicles on a 42 km test-bed in Illawarra, Australia, we now focus on testing the positioning accuracy as transmitted by two light vehicles, engaged in five different simulation experiments of potential traffic collisions. Firstly, as ground truth is not available, we conduct a comparative analysis of transmitted positioning through Basic Safety Messages by using both Open Street Map and Google Street Map as reference, and show the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the collision alerts broadcasted during the incident demonstrations. The findings indicate that speed, breaking and DSRC installation might influence the successful transmission of collision alerts to the surrounding drivers and can be used as a guideline for future settings of using DSRC equipped vehicles in light vehicles.
This paper presents the results obtained from a research investigation undertaken into the capabilities of DSRC technology for meeting the positioning accuracy of road safety applications. The available data sets contain almost 400 million Basic Safety Messages (BSM) transmitted by 58 heavy vehicles equipped with DSRC, operating on a daily basis on a 42 km test bed area in Illawarra, Australia. Firstly, as ground truth is not available, we conduct a comparative analysis of positioning in the transmitted BSMs by using both Open Street Map and Google Street Map as reference, and show that the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the five most active trucks of the fleet, as well as the noise-prone areas in which false collision alerts can be generated. Thirdly, we apply gradient boosted decision trees on the data sets and identify the three most important factors that influence DSRC transmitted positioning error in heavy vehicles.
This paper presents the results obtained from an ongoing research investigation focusing on testing the capabilities of Dedicated Short Range Communications (DSRC) to meet critical levels of road safety in terms of positioning accuracy. After previous analysis of positioning accuracy of heavy vehicles on a 42 km test-bed in Illawarra, Australia, we now focus on testing the positioning accuracy as transmitted by two light vehicles, engaged in five different simulation experiments of potential traffic collisions. Firstly, as ground truth is not available, we conduct a comparative analysis of transmitted positioning through Basic Safety Messages by using both Open Street Map and Google Street Map as reference, and show the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the collision alerts broadcasted during the incident demonstrations. The findings indicate that speed, breaking and DSRC installation might influence the successful transmission of collision alerts to the surrounding drivers and can be used as a guideline for future settings of using DSRC equipped vehicles in light vehicles.
This paper presents the results obtained from a research investigation undertaken into the capabilities of DSRC technology for meeting the positioning accuracy of road safety applications. The available data sets contain almost 400 million Basic Safety Messages (BSM) transmitted by 58 heavy vehicles equipped with DSRC, operating on a daily basis on a 42 km test bed area in Illawarra, Australia. Firstly, as ground truth is not available, we conduct a comparative analysis of positioning in the transmitted BSMs by using both Open Street Map and Google Street Map as reference, and show that the latter provides better accuracy in positioning error computation. Secondly, we present the results obtained when analyzing the five most active trucks of the fleet, as well as the noise-prone areas in which false collision alerts can be generated. Thirdly, we apply gradient boosted decision trees on the data sets and identify the three most important factors that influence DSRC transmitted positioning error in heavy vehicles.