Connected vehicles and fully automated driving systems are the main objectives of the future transportation system. A safe interactive system that interacts with people and things is essential to achieve these objectives. In this context, a crowd intelligence system plays a key role in interactive system development. Crowd intelligence is a combined method of data collection, integration and analysis from devices such as the smartphones, wearables, vehicles and a wide range of Internet of Things applications to use them as sensors. This collective feedback-driven interactive method is opportunistic for the development of the future transportation system. In this study, a survey is conducted considering crowd-intelligence techniques for the transportation system. From this survey, various challenges of the intelligent transportation system have been outlined and crowd-intelligent solutions have been discussed. A layered structure of transportation system architecture is suggested considering various problems in each layer and its crowd-intelligent solutions. The crowd-intelligence-based mobility, traffic control, traffic prediction, parking solutions have been discussed in this survey. Moreover, the importance of crowd-intelligent techniques and its applicability is discussed for sustainable development of futuristic transport infrastructure.

中文翻译：

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可持续发展的未来智能交通系统的人群智能：回顾

联网车辆和全自动驾驶系统是未来交通运输系统的主要目标。与人和事物交互的安全交互系统对于实现这些目标至关重要。在这种情况下，人群智能系统在交互式系统开发中起着关键作用。人群智能是一种从智能手机，可穿戴设备，车辆以及各种物联网应用程序等设备收集数据，集成和分析数据的组合方法，可将其用作传感器。这种集体反馈驱动的交互式方法为未来交通运输系统的发展提供了机会。在这项研究中，进行了一项考虑了交通系统人群智能技术的调查。根据这项调查，概述了智能交通系统的各种挑战，并讨论了人群智能解决方案。考虑到每一层的各种问题及其人群智能解决方案，提出了一种分层的运输系统体系结构。本次调查讨论了基于人群智能的移动性，交通控制，交通预测，停车解决方案。此外，还讨论了人群智能技术的重要性及其适用性对未来交通基础设施的可持续发展。交通预测，停车解决方案已在本次调查中讨论。此外，还讨论了人群智能技术的重要性及其适用性对未来交通基础设施的可持续发展。交通预测，停车解决方案已在本次调查中讨论。此外，还讨论了人群智能技术的重要性及其适用性对未来交通基础设施的可持续发展。