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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.
Rathin Chandra Shit (Tue,) studied this question.