Page 670 - Shaping smarter and more sustainable cities - Striving for sustainable development goals

heterogeneous sensors. Information resources with large numbers, different kinds and
multiple representation ways are major obstacles in the development and integrated
management for smart sustainable cities. The difficulty of information resource
management in smart sustainable cities is demonstrated in Figure 5.

Figure 5 – Difficulty of information resource management in smart sustainable cities
2) Cooperation between the different information resources is lacking, and their fusion
processing is difficult, leading to incomplete and inaccurate decisions. Just in terms of the
observation data, only less than 10% of the present observation data can be processed
timely and efficiently, and the capability of fusion processing on the space, aerial and
ground observation data is insufficient. On one hand, when coping with significant
environment and disaster events, the poor timeliness and great time lag of data fusion,
processing and collaborative analysis always hinders the first‐hand data and information
from being delivered to the right place on time. On the other hand, the historical surveying
and mapping information database cannot be effectively associated and fused with the
current observations, forming the obstacles of information overlay and intuitional display.
Thus, the status of events and the situation of the schedulable sources cannot be made
clear, leading to incomprehensive and inaccurate decisions. The problem of information
fusion processing in smart sustainable cities is elaborated in Figure 6.

Figure 6 – Problem of information fusion processing in smart sustainable cities

660 ITU‐T's Technical Reports and Specifications