The recent advances in information and communication technologies (ICT) and the steep drop of hardware prices have triggered the rapid deployments of various wireless networks. The capability of CPE which has been greatly enhanced enables low-end PCs to be equipped with multiple radio interfaces. While voice services dominating the wireless service, the gradual gain in popularity of Internet access and multimedia services has boosted the wireless-related industry. The rapid expansion of network infrastructures in recent years, from GSM, GPRS, WiFi, EDGE, WCDMA to WiMAX and LTE, would not be sustainable if no new services were introduced to attract more users. Especially when the infrastructure upgrade is not likely due to various reasons, the introduction of new service to prosper the wireless and related industries becomes crucially important.


The Platform for Location Aware Service with Human Computation (PLASH), based on the above belief, is proposed as a platform to allow fast deployment of various location aware services. This project is a collection of sub-projects that investigate various topics, problems and algorithms about location aware services, human computation, software framework, routing, network performance, city profiling, data mining as well as traffic estimation and recommendations. The PLASH project involves the joint efforts of six research teams led by seven notable computing scientists and scholars from Academia Sinica.



PLASH applies Web2.0 and human computation to consolidate the intelligence and efforts of the general public, which is the main difference with the traditional intelligent transportation system and location aware services. Human computation is the art of using massive groups of networked human/intelligent beings to solve problems that computers cannot. Therefore, the main concerns of design are different from the previous systems. In PLASH, users are also participators and contributors. PLASH will investigate the application of human computation in wireless services and demonstrate successful application.