Street lighting provides a number of important benefits. It can be used to promote security in urban areas and to increase the quality of life by artificially extending the hours in which it is light so that activity can take place. Street lighting also improves safety for drivers, riders, and pedestrians. Driving outside of daylight hours is more dangerous – only a quarter of all travel by car drivers is between the hours of 7pm and 8am, yet this period accounts for 40% of fatal and serious injuries to the same group. Pedestrians and vulnerable road users suffer from decreased visibility in the dark too. For these reason, ways of reducing the risk to all road users during the hours of darkness must be found. That is the important of Street lighting.
Several street light control systems(SLCS) mainly focus on designing a specific policy to enhance the communication quality and performance between control center and existing individual street lights. However, very limited efforts have been taken for the issues of location and deployment of street light installations, which might seriously affect the performance of street light and SLCS. Currently, the installation and deployment of street light strategies are manually and heuristically decided by government agencies by partitioning and locating control points for street light regions in a geographic map. In general, for a SLCS, thousands of control nodes need to be deployed at significant point along the substantial section of road. The selection of blocks and control points is very important for an SLCS, which would significantly affect the communication efficiency. It indeed consumes too much manpower and time to conduct an installation and deployment plan with the consideration of performance and energy conservation issues. In order to reduce the communication and facility cost, it is necessary to find out the minimum number of blocks and deploy the adaptive control points to improve government’s street light management policies. Unfortunately, the calculation of the minimum block number for the SLCS in a city is similar to maximum clique problem, which is proved as a nondeterministic polynomial (NP)-complete problem.21 That is, no simple solution exists for street light deployment problems currently.
Therefore, we have successfully developed a Light Pole Management System to solve the mentioned above issues. This system concentrates on increasing limited efforts have been taken for the issues of location and deployment of street light installations, dynamic managing and selecting of blocks and control points, reducing the manpower and time consumption, and trying to find out the minimum number of blocks and deploy the adaptive control points to improve government’s street light management policies.