Sustainable urban mobility and traffic congestion are the key challenges in a smart city. Nevertheless, a sustainable mobility approach such as real-time ridesharing as a solution is likely to fail, if not integrated with actions aimed at increasing the awareness of citizens, encouragement through incentives and influencing their behavioral change. This article analyzes the possibility of quantifying an individual contribution toward sustainability and reciprocal incentive approach to encourage voluntary behavioral development toward sustainable mobility solutions. Furthermore, the challenges faced by the interested carpoolers were analyzed. This work proposes an IoT-based framework called WeDoShare for real-time ridesharing as a solution aimed at resolving the issues of carpoolers and quantifying their sustainability contribution with a reciprocal auto-incentive approach. Additionally, on top of social network, a gamification approach is proposed to involve, spread, and engage the citizens in ridesharing activity.

中文翻译：

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WeDoShare：智慧城市中可持续交通运输网络物理系统中的拼车框架

可持续的城市交通和交通拥堵是智慧城市的主要挑战。但是，如果不与旨在提高公民意识，通过激励措施鼓励和影响其行为改变的行动相结合，则可持续的出行方式（例如实时乘车解决方案）可能会失败。本文分析了量化个人对可持续发展的贡献和相互激励方法的可能性，以鼓励自愿行为发展以实现可持续交通解决方案。此外，分析了感兴趣的拼车者所面临的挑战。这项工作提出了一个名为WeDoShare的基于IoT的框架，用于实时拼车，作为一种解决方案，旨在通过互惠的自动激励方法来解决拼车者的问题并量化其对可持续性的贡献。此外，在社交网络之上，提出了一种游戏化方法，以使公民参与，传播并使他们参与拼车活动。