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With the proposed approach, different collision avoidance strategies are designed to suit for different transportation environments.
Wireless access in vehicular environments (WAVEs) [1] is a next generation intelligent transportation technology that aims to improve transportation environments.
This paper discusses the types of cities and transportation environments required for increasing quality of life of child-rearing households in Japan.
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All of these developments and shifts will drastically alter our future transportation environment.
Machine learning could create a more efficient transportation environment and experience.
This indicator presents people's satisfaction of total transportation environment, not only for evaluating traffic congestion.
About 30%% respondents presented their dissatisfaction of transportation environment, and 24%% respondents felt satisfied.
Respondents with higher income show their less satisfaction with transportation environment.
Machine learning in this realm could vastly improve traffic flows and create a more efficient transportation environment and experience.
But for Google, the self-driving car is part of a bigger vision for re-envisioning the transportation environment.
Respondents who are satisfied with their travel time are more likely to be satisfied with the total transportation environment.
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