Development of Entropy Indication Parameter for Non-recurrent Incident on Urban Road

When the non-current incidents happened on urban road, it not only threatens with the drivers’ life but also increases traffic congestion. It leads to pay huge social cost for it. In Taiwan, the intelligent transportation system is one of goals that are why we’re working hard for developing it. Now, we can get the effects of traffic management and controlling by the CCTV and image incident detection system. So, we can decrease traffic congestion and reduce the time of accident announcing. This study collected the traffic flow data by taking a film from the CCTV on urban road. We discuss with the horizontal and vertical directions for using the information entropy. The entropy parameter within a calculation a vehicle speed variation on the horizontal and vertical directions. When the entropy value is higher, the vehicle speed has more violent variation. It shows that the vehicle runs into the conflict many times. When the entropy value is smaller and it closed to zero, the vehicle speed has less violent variation. It shows that the vehicle drives freely. We can develop the entropy indication parameter for non-current incidents after analyzing these calculated entropy values. We sort the incident indication by three situations: true incident, no incident and incident maybe happened. Then we can calculate the incident indication ratio value. This study find out the entropy value greater than 2.5, it is defined the “true incident.” If the entropy value is smaller than 1, it is defined the “no incident.” Other entropy values have to depend on the incident indication ratio value, and infer an entropy value representing the percent of an incident happened. Therefore, we can indicate an incident happening. Finally, this study explained the incident entropy indication parameter with a real case that was about a scooter accident. Therefore, we could apply it and proved its practicability.