Location-Aware Mobile Crime Information Framework for Fast Tracking Response to Accidents and Crimes in Big Cities

Recently the number of accidents and crimes are arising in many big cities. Mobile applications with location aware systems can be utilized in providing location information of the crime. The problem is that location information provided by mobile phones has not been fully utilized. Mostly mobile phones used for its main functions which are for calling and messaging. This paper argues that location information can be used for reporting accident and crime, so that a quick and fast response can be achieved. This study proposes a framework of mobile crime information assistance to help the users (victim) from locus delicti (location where accident or crime happened) with location aware capabilities. Using this framework, mobile app can send and receive location of crimes including the scenes (images) to the nearest police station or central police station. The system can offer a facility to track the location of the nearest police station by accessing a built-in database with a combination of Google map APIs and send the scene/image of the crime location as one complete set of report to the police station. This will allow the police to find the location of the accident right away and increase the safety of the resident in big cities.

[1]  Fredrik Gustafsson,et al.  Sensor models and localization algorithms for sensor networks based on received signal strength , 2012, EURASIP J. Wirel. Commun. Netw..

[2]  Maarten Marx,et al.  Using web-sources for location based systems on mobile phones , 2008 .

[3]  Tu Ngoc Nguyen,et al.  An Intelligent Agent for Ubiquitous Travel Information Assistance with Location Awareness , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

[4]  Kyung-Joon Park,et al.  Enabling location-aware quality-controlled access in wireless networks , 2011, EURASIP J. Wirel. Commun. Netw..

[5]  Chin-Liang Wang,et al.  A reduced-complexity scheme using message passing for location tracking , 2012, EURASIP J. Adv. Signal Process..

[6]  D. Dias,et al.  Database Correlation for GSM Location in Outdoor & Indoor Environments , 2008, 2008 4th International Conference on Information and Automation for Sustainability.

[7]  Dieter Fox,et al.  Gaussian Processes for Signal Strength-Based Location Estimation , 2006, Robotics: Science and Systems.