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En el instante 25 de junio de 2026, 12:29:43 UTC,
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Modificado el valor del campo
modified
a2026-06-25
en GPS-based real-time application to warn drivers of high risk of animal-vehicle collision. -
Modificado el valor del campo
modified
del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en GPS-based real-time application to warn drivers of high risk of animal-vehicle collision.
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| 77 | "name": "c2e5ffcf-4005-5839-af34-864fd1dd77d4", | 91 | "name": "c2e5ffcf-4005-5839-af34-864fd1dd77d4", | ||
| 78 | "notes": "A wide range of mitigation measures have been proposed and | 92 | "notes": "A wide range of mitigation measures have been proposed and | ||
| 79 | tested to reduce the number of animal-vehicle collision (AVC). These | 93 | tested to reduce the number of animal-vehicle collision (AVC). These | ||
| 80 | mitigation measures work at different spatial scales, from regional | 94 | mitigation measures work at different spatial scales, from regional | ||
| 81 | planning to transversal structures and other mechanisms that work at | 95 | planning to transversal structures and other mechanisms that work at | ||
| 82 | road segment scale. They have different objectives, aimed to modify | 96 | road segment scale. They have different objectives, aimed to modify | ||
| 83 | driver\u00b4s behavior, modify animal behavior, or both. Moreover, | 97 | driver\u00b4s behavior, modify animal behavior, or both. Moreover, | ||
| 84 | they also show different costs and effectiveness. The mitigation | 98 | they also show different costs and effectiveness. The mitigation | ||
| 85 | measures focused on the driver as the main responsible for avoiding | 99 | measures focused on the driver as the main responsible for avoiding | ||
| 86 | AVC are commonly installed throughout the world. For example, traffic | 100 | AVC are commonly installed throughout the world. For example, traffic | ||
| 87 | warning signs are the most widely applied measure. The warning expects | 101 | warning signs are the most widely applied measure. The warning expects | ||
| 88 | to get driver\u00b4s attention and to manage a reduction of the | 102 | to get driver\u00b4s attention and to manage a reduction of the | ||
| 89 | vehicle speed, considering that speed is one of the most remarkable | 103 | vehicle speed, considering that speed is one of the most remarkable | ||
| 90 | explanatory variables involved in AVC occurrence and in the | 104 | explanatory variables involved in AVC occurrence and in the | ||
| 91 | seriousness of them. Nevertheless, road signs have shown limited | 105 | seriousness of them. Nevertheless, road signs have shown limited | ||
| 92 | long-term effectiveness because, after a certain period of time, the | 106 | long-term effectiveness because, after a certain period of time, the | ||
| 93 | driver\u00b4s response to the warning decreases. This fact can be | 107 | driver\u00b4s response to the warning decreases. This fact can be | ||
| 94 | explained partly because of the absence of temporal correspondence | 108 | explained partly because of the absence of temporal correspondence | ||
| 95 | between the warning and the real risk. Effectiveness may increase | 109 | between the warning and the real risk. Effectiveness may increase | ||
| 96 | focusing the warning only in those moments and locations of high risk | 110 | focusing the warning only in those moments and locations of high risk | ||
| 97 | of AVC. Thus, one of the main characteristics that we can exploit to | 111 | of AVC. Thus, one of the main characteristics that we can exploit to | ||
| 98 | deal with the AVC problematic is that they are not randomly | 112 | deal with the AVC problematic is that they are not randomly | ||
| 99 | distributed either the space or time. There are important temporal | 113 | distributed either the space or time. There are important temporal | ||
| 100 | changes across the seasons, within the day or within other facts as | 114 | changes across the seasons, within the day or within other facts as | ||
| 101 | moon phases. Moreover, AVC commonly concentrate in certain landscapes | 115 | moon phases. Moreover, AVC commonly concentrate in certain landscapes | ||
| 102 | and habitats. Hence, it is possible to model the spatio-temporal | 116 | and habitats. Hence, it is possible to model the spatio-temporal | ||
| 103 | probability of AVC occurrence with a road network. We have obtained | 117 | probability of AVC occurrence with a road network. We have obtained | ||
| 104 | the model for AVC in Castile and Leon region (NW Spain). The resultant | 118 | the model for AVC in Castile and Leon region (NW Spain). The resultant | ||
| 105 | spatio-temporal model can be implemented in an app for smartphones or | 119 | spatio-temporal model can be implemented in an app for smartphones or | ||
| 106 | incorporated easily to a GPS vehicle navigation system, coupling it | 120 | incorporated easily to a GPS vehicle navigation system, coupling it | ||
| 107 | with the positioning system, the calendar and the clock of the device. | 121 | with the positioning system, the calendar and the clock of the device. | ||
| 108 | The result is an application that shows at real-time the probability | 122 | The result is an application that shows at real-time the probability | ||
| 109 | of AVC considering the vehicle positioning. Al alarm alerts the driver | 123 | of AVC considering the vehicle positioning. Al alarm alerts the driver | ||
| 110 | only when the risk of AVC is high, this is, when the driver passes | 124 | only when the risk of AVC is high, this is, when the driver passes | ||
| 111 | through a road segment with high probability of AVC occurrence just in | 125 | through a road segment with high probability of AVC occurrence just in | ||
| 112 | a period of time (month, hour, moon phase, etc.) given to AVC.", | 126 | a period of time (month, hour, moon phase, etc.) given to AVC.", | ||
| 113 | "notes_translated": { | 127 | "notes_translated": { | ||
| 114 | "en": "A wide range of mitigation measures have been proposed and | 128 | "en": "A wide range of mitigation measures have been proposed and | ||
| 115 | tested to reduce the number of animal-vehicle collision (AVC). These | 129 | tested to reduce the number of animal-vehicle collision (AVC). These | ||
| 116 | mitigation measures work at different spatial scales, from regional | 130 | mitigation measures work at different spatial scales, from regional | ||
| 117 | planning to transversal structures and other mechanisms that work at | 131 | planning to transversal structures and other mechanisms that work at | ||
| 118 | road segment scale. They have different objectives, aimed to modify | 132 | road segment scale. They have different objectives, aimed to modify | ||
| 119 | driver\u00b4s behavior, modify animal behavior, or both. Moreover, | 133 | driver\u00b4s behavior, modify animal behavior, or both. Moreover, | ||
| 120 | they also show different costs and effectiveness. The mitigation | 134 | they also show different costs and effectiveness. The mitigation | ||
| 121 | measures focused on the driver as the main responsible for avoiding | 135 | measures focused on the driver as the main responsible for avoiding | ||
| 122 | AVC are commonly installed throughout the world. For example, traffic | 136 | AVC are commonly installed throughout the world. For example, traffic | ||
| 123 | warning signs are the most widely applied measure. The warning expects | 137 | warning signs are the most widely applied measure. The warning expects | ||
| 124 | to get driver\u00b4s attention and to manage a reduction of the | 138 | to get driver\u00b4s attention and to manage a reduction of the | ||
| 125 | vehicle speed, considering that speed is one of the most remarkable | 139 | vehicle speed, considering that speed is one of the most remarkable | ||
| 126 | explanatory variables involved in AVC occurrence and in the | 140 | explanatory variables involved in AVC occurrence and in the | ||
| 127 | seriousness of them. Nevertheless, road signs have shown limited | 141 | seriousness of them. Nevertheless, road signs have shown limited | ||
| 128 | long-term effectiveness because, after a certain period of time, the | 142 | long-term effectiveness because, after a certain period of time, the | ||
| 129 | driver\u00b4s response to the warning decreases. This fact can be | 143 | driver\u00b4s response to the warning decreases. This fact can be | ||
| 130 | explained partly because of the absence of temporal correspondence | 144 | explained partly because of the absence of temporal correspondence | ||
| 131 | between the warning and the real risk. Effectiveness may increase | 145 | between the warning and the real risk. Effectiveness may increase | ||
| 132 | focusing the warning only in those moments and locations of high risk | 146 | focusing the warning only in those moments and locations of high risk | ||
| 133 | of AVC. Thus, one of the main characteristics that we can exploit to | 147 | of AVC. Thus, one of the main characteristics that we can exploit to | ||
| 134 | deal with the AVC problematic is that they are not randomly | 148 | deal with the AVC problematic is that they are not randomly | ||
| 135 | distributed either the space or time. There are important temporal | 149 | distributed either the space or time. There are important temporal | ||
| 136 | changes across the seasons, within the day or within other facts as | 150 | changes across the seasons, within the day or within other facts as | ||
| 137 | moon phases. Moreover, AVC commonly concentrate in certain landscapes | 151 | moon phases. Moreover, AVC commonly concentrate in certain landscapes | ||
| 138 | and habitats. Hence, it is possible to model the spatio-temporal | 152 | and habitats. Hence, it is possible to model the spatio-temporal | ||
| 139 | probability of AVC occurrence with a road network. We have obtained | 153 | probability of AVC occurrence with a road network. We have obtained | ||
| 140 | the model for AVC in Castile and Leon region (NW Spain). The resultant | 154 | the model for AVC in Castile and Leon region (NW Spain). The resultant | ||
| 141 | spatio-temporal model can be implemented in an app for smartphones or | 155 | spatio-temporal model can be implemented in an app for smartphones or | ||
| 142 | incorporated easily to a GPS vehicle navigation system, coupling it | 156 | incorporated easily to a GPS vehicle navigation system, coupling it | ||
| 143 | with the positioning system, the calendar and the clock of the device. | 157 | with the positioning system, the calendar and the clock of the device. | ||
| 144 | The result is an application that shows at real-time the probability | 158 | The result is an application that shows at real-time the probability | ||
| 145 | of AVC considering the vehicle positioning. Al alarm alerts the driver | 159 | of AVC considering the vehicle positioning. Al alarm alerts the driver | ||
| 146 | only when the risk of AVC is high, this is, when the driver passes | 160 | only when the risk of AVC is high, this is, when the driver passes | ||
| 147 | through a road segment with high probability of AVC occurrence just in | 161 | through a road segment with high probability of AVC occurrence just in | ||
| 148 | a period of time (month, hour, moon phase, etc.) given to AVC.", | 162 | a period of time (month, hour, moon phase, etc.) given to AVC.", | ||
| 149 | "es": "A wide range of mitigation measures have been proposed and | 163 | "es": "A wide range of mitigation measures have been proposed and | ||
| 150 | tested to reduce the number of animal-vehicle collision (AVC). These | 164 | tested to reduce the number of animal-vehicle collision (AVC). These | ||
| 151 | mitigation measures work at different spatial scales, from regional | 165 | mitigation measures work at different spatial scales, from regional | ||
| 152 | planning to transversal structures and other mechanisms that work at | 166 | planning to transversal structures and other mechanisms that work at | ||
| 153 | road segment scale. They have different objectives, aimed to modify | 167 | road segment scale. They have different objectives, aimed to modify | ||
| 154 | driver\u00b4s behavior, modify animal behavior, or both. Moreover, | 168 | driver\u00b4s behavior, modify animal behavior, or both. Moreover, | ||
| 155 | they also show different costs and effectiveness. The mitigation | 169 | they also show different costs and effectiveness. The mitigation | ||
| 156 | measures focused on the driver as the main responsible for avoiding | 170 | measures focused on the driver as the main responsible for avoiding | ||
| 157 | AVC are commonly installed throughout the world. For example, traffic | 171 | AVC are commonly installed throughout the world. For example, traffic | ||
| 158 | warning signs are the most widely applied measure. The warning expects | 172 | warning signs are the most widely applied measure. The warning expects | ||
| 159 | to get driver\u00b4s attention and to manage a reduction of the | 173 | to get driver\u00b4s attention and to manage a reduction of the | ||
| 160 | vehicle speed, considering that speed is one of the most remarkable | 174 | vehicle speed, considering that speed is one of the most remarkable | ||
| 161 | explanatory variables involved in AVC occurrence and in the | 175 | explanatory variables involved in AVC occurrence and in the | ||
| 162 | seriousness of them. Nevertheless, road signs have shown limited | 176 | seriousness of them. Nevertheless, road signs have shown limited | ||
| 163 | long-term effectiveness because, after a certain period of time, the | 177 | long-term effectiveness because, after a certain period of time, the | ||
| 164 | driver\u00b4s response to the warning decreases. This fact can be | 178 | driver\u00b4s response to the warning decreases. This fact can be | ||
| 165 | explained partly because of the absence of temporal correspondence | 179 | explained partly because of the absence of temporal correspondence | ||
| 166 | between the warning and the real risk. Effectiveness may increase | 180 | between the warning and the real risk. Effectiveness may increase | ||
| 167 | focusing the warning only in those moments and locations of high risk | 181 | focusing the warning only in those moments and locations of high risk | ||
| 168 | of AVC. Thus, one of the main characteristics that we can exploit to | 182 | of AVC. Thus, one of the main characteristics that we can exploit to | ||
| 169 | deal with the AVC problematic is that they are not randomly | 183 | deal with the AVC problematic is that they are not randomly | ||
| 170 | distributed either the space or time. There are important temporal | 184 | distributed either the space or time. There are important temporal | ||
| 171 | changes across the seasons, within the day or within other facts as | 185 | changes across the seasons, within the day or within other facts as | ||
| 172 | moon phases. Moreover, AVC commonly concentrate in certain landscapes | 186 | moon phases. Moreover, AVC commonly concentrate in certain landscapes | ||
| 173 | and habitats. Hence, it is possible to model the spatio-temporal | 187 | and habitats. Hence, it is possible to model the spatio-temporal | ||
| 174 | probability of AVC occurrence with a road network. We have obtained | 188 | probability of AVC occurrence with a road network. We have obtained | ||
| 175 | the model for AVC in Castile and Leon region (NW Spain). The resultant | 189 | the model for AVC in Castile and Leon region (NW Spain). The resultant | ||
| 176 | spatio-temporal model can be implemented in an app for smartphones or | 190 | spatio-temporal model can be implemented in an app for smartphones or | ||
| 177 | incorporated easily to a GPS vehicle navigation system, coupling it | 191 | incorporated easily to a GPS vehicle navigation system, coupling it | ||
| 178 | with the positioning system, the calendar and the clock of the device. | 192 | with the positioning system, the calendar and the clock of the device. | ||
| 179 | The result is an application that shows at real-time the probability | 193 | The result is an application that shows at real-time the probability | ||
| 180 | of AVC considering the vehicle positioning. Al alarm alerts the driver | 194 | of AVC considering the vehicle positioning. Al alarm alerts the driver | ||
| 181 | only when the risk of AVC is high, this is, when the driver passes | 195 | only when the risk of AVC is high, this is, when the driver passes | ||
| 182 | through a road segment with high probability of AVC occurrence just in | 196 | through a road segment with high probability of AVC occurrence just in | ||
| 183 | a period of time (month, hour, moon phase, etc.) given to AVC." | 197 | a period of time (month, hour, moon phase, etc.) given to AVC." | ||
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