Titlebook: 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021); Zhenyuan Zhang Conference proceedings 2022 The E

Conjecture

書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)影響因子(影響力)




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)影響因子(影響力)學科排名




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)網(wǎng)絡公開度




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)網(wǎng)絡公開度學科排名




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)被引頻次




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)被引頻次學科排名




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)年度引用




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)年度引用學科排名




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)讀者反饋




書目名稱2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)讀者反饋學科排名

colloquial

Yasmine Anchén,Edelweis Rohrer,Regina Motzrectly affect the application effect. The traditional vehicle location method is to use the satellite positioning and navigation system for positioning, but in the case of satellite signal failure (tunnel, urban canyon, the environment is blocked scene), the traditional vehicle location method is ob

首創(chuàng)精神

artless

https://doi.org/10.1007/978-3-031-47112-4e-scale pedestrian flow experiments. The flow-limited bottleneck experiment was conducted at 2018, while the width-restricted experiment was conducted at 2019. For the simulation of flow-limited bottleneck, the performance of Vissim is better: the averaged speeds at different locations and the traje

Middle-Ear

https://doi.org/10.1007/978-3-319-25747-1domness of the driver behavior in a complex road environment, and the data for training models are often generated from driving simulators rather than from vehicles traveling under real road conditions. In this paper, a neural network model is proposed to identify a driver’s lane changing behavior b

有抱負者

Predigest

Lecture Notes in Computer Sciences rarely considered in the study of PTN. This paper builds bus stop network and bus transit network with a new perspective: time-varying bus lines’ frequency. Based on these two types of network model, we investigate Nanjing PTN, analyzing the static topological properties and time-varying character

無能的人

Advances in Conceptual Modelingthe downstream intersection are analyzed, namely, “head and tail are blocked”, “head is blocked and tail is unblocked”, “head is unblocked and tail is blocked” and “head and tail are both unblocked”. By plotting the delay map, the geometric relationship is used to derive the expressions of the delay

Discrete

fetter

Advances in Conceptual Modelingtomatically change with the real-time traffic volume which result in unnecessary parking of passing vehicles. Then many intelligent traffic light systems have been developed based on traditional methods. But vehicles cannot communicate with the system, resulting in limited improvements in traffic ef