Embracive compendium of carpooling applications and proposed framework for agent mediated carpooling systems

Abstract

Car pooling is environment friendly form of ride sharing technique which reduces bottleneck on roads and thereby also downsizing the parking challenge. However as per extant study distrust or wariness and high shuttle tariffs are major challenges for carpooling services. One way to boost trust among commuters and commuters and drivers is to bring into consideration reputation assessment mechanisms which will enhance civil assuage. This can be achieved by bringing social networks, route networks, commuter’s desires, ratings of commuters and cost optimization into account and developing a framework based on these factors. Agent mediated rapidly changing carpooling system involves booking seats to travel from a particular source to destination through software agents. One major problem in such systems is the anterior concurrence between the person who plays the role of driver and offers his vehicle for ride and the commuters. The dynamic carpooling exploit IT system to eliminate this constraint and ameliorate the nature of service. This paper assesses numerous trust and reputation systems specific to carpooling applications. These models are investigated on the underpinning of manifold idiosyncrasy like trust measurement, reputation reckoning, and threats on the system. This paper furnishes reputation reckoning framework for carpooling system that changes with the changes in environment by counting user desires, social networks and score from other commuters thereby ameliorate precursory systems by meliorate trust factor between the two involved parties. The carpooling model tacit a major trust affair because people resist sharing their vehicles or their time with strangers.