Triboelectric nanogenerators (TENG) have progressed over the years, bringing significant
benefits to self-powered sensing owing to the compelling features of high sensitivity, low …

Triboelectric nanogenerators (TENG) have rapidly advanced in self-powered sensing in
transportation engineering owing to its great sensitivity, high energy harvesting …

The expansion of technology in metropolitan centers draws people to cities, which causes
excessive traffic on the roadways during peak hours. This exacerbated the traffic situation …

The development of triboelectric nanogenerators (TENGs) over time has resulted in
considerable improvements to the efficiency, effectiveness, and sensitivity of self-powered …

In view of the intelligent requirements of spatial non-cooperative target detection and
recognition tasks, this paper applies the deep learning method YOLOX_L to the task and …

Comprehending how smart city construction (SCM) affects urban metabolic efficiency (UME)
is crucial to comprehensively assessing the policy performance of SCM. This study …

Path allocation problem is one of the important research directions of traffic digital twin
system. Its focus is to comprehensively consider the dynamic changes of driving demand …

智慧交通灯控制能够有效地改善道路交通的秩序和效率. 在城市交通网络中,
具有紧急任务的特殊车辆对于通行效率的要求更高. 目前已有的智慧交通灯控制算法通常对路网 …

智慧交通灯控制能够有效地改善道路交通的秩序和效率. 在城市交通网络中,
具有紧急任务的特殊车辆对于通行效率的要求更高. 目前已有的智慧交通灯控制算法通常对路网 …

In view of the intelligent requirements of spatial non-cooperative target detection and
recognition tasks, this paper applies the deep learning method YOLOX_L to the task and …