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作者: 叛亂分子    時(shí)間: 2025-3-21 16:16
書目名稱GreenTransportation and Low Carbon Mobility Safety影響因子(影響力)




書目名稱GreenTransportation and Low Carbon Mobility Safety影響因子(影響力)學(xué)科排名




書目名稱GreenTransportation and Low Carbon Mobility Safety網(wǎng)絡(luò)公開度




書目名稱GreenTransportation and Low Carbon Mobility Safety網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱GreenTransportation and Low Carbon Mobility Safety被引頻次




書目名稱GreenTransportation and Low Carbon Mobility Safety被引頻次學(xué)科排名




書目名稱GreenTransportation and Low Carbon Mobility Safety年度引用




書目名稱GreenTransportation and Low Carbon Mobility Safety年度引用學(xué)科排名




書目名稱GreenTransportation and Low Carbon Mobility Safety讀者反饋




書目名稱GreenTransportation and Low Carbon Mobility Safety讀者反饋學(xué)科排名





作者: Pericarditis    時(shí)間: 2025-3-21 22:02

作者: 努力趕上    時(shí)間: 2025-3-22 01:56
GreenTransportation and Low Carbon Mobility Safety978-981-19-5615-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
作者: separate    時(shí)間: 2025-3-22 05:29

作者: Derogate    時(shí)間: 2025-3-22 11:20
Ergebnisse der Literaturrecherche, solve the problems. Finally, this model was applied to the Beijing Metro Yanfang Line. The results illustrated that the method could significantly reduce the metro crew members’ fatigue value with optimized operating costs.
作者: Spirometry    時(shí)間: 2025-3-22 15:20

作者: Spirometry    時(shí)間: 2025-3-22 17:23

作者: 松軟    時(shí)間: 2025-3-22 21:49
N?hrstoffbilanzen für Flu?einzugsgebietes based on SVM classification algorithm. Finally, according to the positions of red and green signal lights on signal light, the pixel value accumulation in the area where the signal light is located was calculated as position feature to recognize the red and green signal lights.
作者: 乞丐    時(shí)間: 2025-3-23 04:46
Nāgārjuna’s Twelve Gate Treatiseosed. Next, the method combining analytic hierarchy process (AHP) and entropy method was adopted, and a framework of multi-mode communication VICS was built. Finally, a field testing was implemented, and the study results show that the proposed method can evaluate the VICS effectively and comprehensively.
作者: exostosis    時(shí)間: 2025-3-23 06:23
Das Design der empirischen Untersuchung, data involving more than 3 million users in Beijing, and the results show that our proposed framework can effectively identify individual travel patterns. The results of this study can further provide insights into traffic demand identification, bus network optimization, and other related research.
作者: 征服    時(shí)間: 2025-3-23 12:54

作者: TAP    時(shí)間: 2025-3-23 17:05
Signal Control Method for Modern Roundabouts with Waiting Areas to Meet High Traffic Demands,d on the traffic states of the approach lanes and the loop lanes, and a signal control parameter optimization model is established with the goal of minimizing the delay. The simulation results show that the proposed method can satisfy the required conditions for roundabouts with high traffic volume.
作者: lethal    時(shí)間: 2025-3-23 20:37
Research on Intersection Signal Control Based on WIFI Probe Vehicle Detection,eal-time adjustment of signal timing do reduce the time of no vehicle with green light, shorten the delay time, the actual capacity maximum close to the lane on the road traffic capacity, thus achieve the purpose of improving the efficiency of traffic, which has good practical application value.
作者: CRACK    時(shí)間: 2025-3-24 01:50

作者: 抵制    時(shí)間: 2025-3-24 04:39

作者: 兩種語(yǔ)言    時(shí)間: 2025-3-24 08:10
Learning Individual Travel Pattern by Using Large-Scale Mobile Location Data with Deep Learning, data involving more than 3 million users in Beijing, and the results show that our proposed framework can effectively identify individual travel patterns. The results of this study can further provide insights into traffic demand identification, bus network optimization, and other related research.
作者: 串通    時(shí)間: 2025-3-24 11:27

作者: 簡(jiǎn)略    時(shí)間: 2025-3-24 17:57

作者: 擔(dān)心    時(shí)間: 2025-3-24 19:41
Evaluation of Park and Ride Effect Based on Fuzzy Analytic Hierarchy Process,sfer point of Shengli South Street in Shenyang as an example to evaluate its implementation effect. The evaluation result is better, which is consistent with the results of the on-site passenger transfer satisfaction survey. Meanwhile, Suggestions are proposed for further optimization and improvement of the transfer point.
作者: 偏狂癥    時(shí)間: 2025-3-25 02:09
Fast Path Planning for Fixed-Wing Unmanned Aerial Vehicle with Multiple Constraints,chieve bi-objective optimization, and it is reasonable. Compared with the traditional A* algorithm, the improved algorithm can better balance the optimization flight range and correction times, and save the algorithm planning time, and effectively complete the fast path planning of fixed-wing UAV with multiple constraints.
作者: 織布機(jī)    時(shí)間: 2025-3-25 05:12
Rund um den Satz des Pythagorasand transfer in fine drilling, constructs the analytical model of residual stress on drilling surface, measures the time-varying stress of in-situ state by boundary method, and assesses the credibility of the model. The results show that the average credibility of the model is 91.30%, which verifies the efficiency of the model.
作者: anniversary    時(shí)間: 2025-3-25 09:51

作者: Acetaminophen    時(shí)間: 2025-3-25 12:49

作者: 喊叫    時(shí)間: 2025-3-25 16:37

作者: 制造    時(shí)間: 2025-3-25 20:12

作者: 四目在模仿    時(shí)間: 2025-3-26 01:37

作者: Bmd955    時(shí)間: 2025-3-26 06:05
Short-Term Traffic Flow Prediction on a Freeway with Multiple Spatial Toll Data Via Temporal Convol was constructed based on the toll data of Shaanxi Province freeway network from December 2018 to April 2019 as the data source. The TCN model was compared with the SVM, SAE, LSTM and GRU models in terms of mean absolute error (MAE) and root mean square error (RMSE). The prediction results of multip
作者: 胰臟    時(shí)間: 2025-3-26 09:57

作者: 細(xì)微的差異    時(shí)間: 2025-3-26 15:55

作者: Jocose    時(shí)間: 2025-3-26 17:58
Pattern Mining and Predictive Inference on Short-Term Weather and Collision Time Series Data, led to different SCTS outputs were further investigated by means of decision tree method. The established decision tree structure was then utilized to predict SCTS values of future days as consequence from their calendar characters and weather forecasts. The approaches of description and inference
作者: GRILL    時(shí)間: 2025-3-26 22:49

作者: Mendicant    時(shí)間: 2025-3-27 03:14
Research on Investment Benefits Valuation Methods for Information Construction of Integrated Passenonstruction from six aspects, including investment scale, perception system, operation decision, emergency command, passenger service, and benefit reflection. On this basis, the paper introduces the data envelopment analysis method to construct the investment benefit evaluation model for information
作者: 善于騙人    時(shí)間: 2025-3-27 08:29
https://doi.org/10.1007/978-3-658-46103-4ccuracy rate of 95.96% and an error rate of 4.78%. The model will also be deployed in the highway monitoring center in Shaanxi Province in the future, which will help early warning of traffic conditions, and rapid emergency response.
作者: Instinctive    時(shí)間: 2025-3-27 09:46
Ablauf der Nutzwert-Kosten-Analyse, was constructed based on the toll data of Shaanxi Province freeway network from December 2018 to April 2019 as the data source. The TCN model was compared with the SVM, SAE, LSTM and GRU models in terms of mean absolute error (MAE) and root mean square error (RMSE). The prediction results of multip
作者: Magnitude    時(shí)間: 2025-3-27 17:17

作者: BLUSH    時(shí)間: 2025-3-27 20:24

作者: cluster    時(shí)間: 2025-3-27 22:24
https://doi.org/10.1007/978-3-7985-1789-9 led to different SCTS outputs were further investigated by means of decision tree method. The established decision tree structure was then utilized to predict SCTS values of future days as consequence from their calendar characters and weather forecasts. The approaches of description and inference
作者: debase    時(shí)間: 2025-3-28 03:16
https://doi.org/10.1007/978-3-031-69354-0he penetration rate of CAVs is in the range of 0–0.4, the improvement of road traffic efficiency is the most significant, and the effect of improvement gradually slows down with the increase of CAVs penetration. Even with a low penetration rate of CAVS, the road capacity can be effectively improved,
作者: 廚師    時(shí)間: 2025-3-28 09:42
https://doi.org/10.1007/978-3-663-10915-0onstruction from six aspects, including investment scale, perception system, operation decision, emergency command, passenger service, and benefit reflection. On this basis, the paper introduces the data envelopment analysis method to construct the investment benefit evaluation model for information
作者: ODIUM    時(shí)間: 2025-3-28 11:43
GreenTransportation and Low Carbon Mobility Safety
作者: hemophilia    時(shí)間: 2025-3-28 14:35
A Scheduling Plan Model for Metro Crew Incorporating Fatigue and Biological Rhythms,west cost as the objective, ignoring the metrzzo crew members’ fatigue and biological rhythms. This paper proposed an optimization approach considering fatigue‘s impact on solving real-world metro crew scheduling and rostering problems. The shift work characteristics of the metro crew were analyzed
作者: 原諒    時(shí)間: 2025-3-28 20:00
Evaluation of Park and Ride Effect Based on Fuzzy Analytic Hierarchy Process, evaluate park-and-ride effect analysis based on multiple park-and-ride point of field survey and access to relevant data, select more concerned about when the passengers to transfer to the three level indicators and nine secondary indicators, quantify the indexes, and the weight of each index is ob
作者: Antarctic    時(shí)間: 2025-3-29 00:23
Exploiting Multi-Dec Net for Detecting Traffic Congestion in the Surveillance System,s, which are not fully utilized. With the widespread application of deep learning in the transportation field, we proposed a congestion classification method based on Convolutional Neural Network. First, we obtain representative data from different camera angles, weather, and light conditions from t
作者: 引水渠    時(shí)間: 2025-3-29 07:07
Signal Control Method for Modern Roundabouts with Waiting Areas to Meet High Traffic Demands,g through the roundabout when the signal control method of Two-Stopline-for-Left-Turn control (TSLT) is adopted. A method for setting up the waiting area and coordinating the traffic signal between the approach lanes and the loop lanes is proposed. With the help of the loop lane space, the through a
作者: Cognizance    時(shí)間: 2025-3-29 08:48

作者: chassis    時(shí)間: 2025-3-29 13:18
Fast Path Planning for Fixed-Wing Unmanned Aerial Vehicle with Multiple Constraints,V, a multi-constraint UAV path planning model is constructed with the minimum flight range and correction times as the objective function. The improved A* algorithm is used to solve the problem: in order to adapt to the model, the objective function of the model is used as the evaluation function; i
作者: LEVY    時(shí)間: 2025-3-29 17:34
Urban Rail Transit and Economic Agglomeration: A Case Study in China,19 in mainland of China are selected as the study subjects. Subsequently, this study gathers panel data of the cities from 2010 to 2019 including the extent of URT, economic agglomeration and control variables. Finally, a non-spatial panel data model and four spatial econometric models are establish
作者: 澄清    時(shí)間: 2025-3-29 21:59

作者: 不感興趣    時(shí)間: 2025-3-29 23:54
Traffic Lights Recognition Based on Position Feature,mages were processed by the ROI (region of interest) extraction, image enhancement, grayscale binarization processing and morphological processing. Then the contour search and connected domain filtering algorithm were used to extract the traffic signal backlight backplane area, thus detecting and se
作者: 門閂    時(shí)間: 2025-3-30 05:04

作者: Adulate    時(shí)間: 2025-3-30 11:24
Modelling and Simulation of Speed Guidance of Multi-Intersection in a Connected Vehicle Environmentvehicles’ delay or stopping time in the environment of connected vehicles. Using the vehicle’s position, speed, and real-time traffic signal information (signal light’s color and its’ remaining time) obtained by communication of infrastructure to connected vehicle, speed advisory system can produce
作者: 陪審團(tuán)    時(shí)間: 2025-3-30 13:51
Pattern Mining and Predictive Inference on Short-Term Weather and Collision Time Series Data,onal highway network, are highly random and fiercely fluctuated. The descriptive and inferential analyses for this type of short-term collision time series data, abbreviated as SCTS data in this paper, are still not well-established yet. This paper is to tackle this issue by a newly emerging approac
作者: 遭遇    時(shí)間: 2025-3-30 16:31

作者: 相信    時(shí)間: 2025-3-30 22:29

作者: 碳水化合物    時(shí)間: 2025-3-31 03:01

作者: Accommodation    時(shí)間: 2025-3-31 06:57
An Agent-Based Cellular Automata Model for Urban Road Traffic Flow Considering Connected and Automaded period, urban roads will be in a mixed traffic flow scene where CAVs and human-driven vehicles (HDVs) coexist. This paper uses an agent-based cellular automata model to establish a micro-traffic simulation framework for urban roads, called the ABCA-MS model. Considering the characteristics of th
作者: 熄滅    時(shí)間: 2025-3-31 12:41

作者: follicle    時(shí)間: 2025-3-31 14:27
Research on Investment Benefits Valuation Methods for Information Construction of Integrated Passento improve the integration level of regional transportation and the quality of passenger travel service. However, Our country is currently in a period of economic structural adjustment, financial constraints, limited financial support for the informatization construction of integrated passenger tran
作者: 喚醒    時(shí)間: 2025-3-31 20:03
Learning Individual Travel Pattern by Using Large-Scale Mobile Location Data with Deep Learning,tween mobile location data and individual travel patterns. This paper proposes a novel deep learning framework to extract individual travel patterns by using large-scale mobile location data. The proposed framework includes methods for extracting origin and destination points based on spatiotemporal
作者: 誓言    時(shí)間: 2025-3-31 23:30

作者: 豎琴    時(shí)間: 2025-4-1 04:56

作者: 無(wú)意    時(shí)間: 2025-4-1 09:44
https://doi.org/10.1007/978-3-658-46103-4s, which are not fully utilized. With the widespread application of deep learning in the transportation field, we proposed a congestion classification method based on Convolutional Neural Network. First, we obtain representative data from different camera angles, weather, and light conditions from t
作者: Fabric    時(shí)間: 2025-4-1 14:12
Wüstenrot Stiftung,Arno Bunzel,Jens Libbeg through the roundabout when the signal control method of Two-Stopline-for-Left-Turn control (TSLT) is adopted. A method for setting up the waiting area and coordinating the traffic signal between the approach lanes and the loop lanes is proposed. With the help of the loop lane space, the through a




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