Incorporating Delay Minimization in Design of the Optimized Arterial Signal Progression

Despite the abundance of studies on signal progression for arterial roads, most existing models for bandwidth maximization cannot concurrently ensure that the resulting delays will be at a desirable level, especially for urban arterials accommodating high turning volume at some major intersections or constrained by limited turning bay length. Extending from those models that aim to address delay minimization in the progression design, this study provides two enhanced progression maximization models for arterials with high turning volumes. The first model aims to select the signal plan that can produce the lowest total signal delays for all movements from the set of non-inferior offsets produced by MAXBAND. Failing to address the impact of potential turning bay spillback at some critical intersections under such a design may significantly degrade the quality of through progression and increase the overall delay. For this reason, the second model proposed in this study offers the flexibility to trade the progression bandwidths within a pre-specified level for the target delay reduction, especially for turning traffic. The evaluation results from both numerical analyses and simulation experiments have shown that both proposed models can produce the desirable level of performance when compared with the two benchmark models, MAXBAND and TRANSYT 16. The second model yielded the lowest average network delay of 117.2 seconds per vehicle (s/veh), compared with 121.7 s/veh with TRANSYT. Moreover, even its average delay of 141.8 s/veh for through vehicles is comparable with that of 141.2 s/veh by MAXBAND, which is designed mainly to benefit through-traffic flows.

FEATURES OF MOLECULAR ANALYSIS AS A REAL-TIME INTERNET SERVICE

Приведен обзор особенностей применения портативныхNIR спектрометров общего назначения, используемых для анализа состава продуктов питания и лекарственных средств. Представлена модель агрегированного потока сетевого трафика от нескольких спектрометров и модель предоставления услуги, обеспечивающая снижение сетевой задержки и объема передаваемых данных. Рассмотрен метод построения сети на основе граничных вычислений для снижения сетевой задержки. Для проверки предложенной модели и метода проведено имитационное моделирование в среде AnyLogic. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications The article provides an overview of the features of the use of portable general-purpose NIR spectrometers to analyze the composition of food or medicines. A model of the aggregated network traffic flow of several spectrometers and a service delivery model, which provides the reduction of network delay and amount of transmitted data, are presented. A method of constructing a network based on edge computing for reduction of network delay is considered. To verify the proposed model and method simulation modeling was carried out in the software environment AnyLogic.

Latency Aware Distributed ADMM over Networks

Methods based on the alternating direction method of multipliers (ADMM) has attracted academic attention because of its excellent convergence performance and potential application scenarios in many machine learning or optimization fields. However, classical distributed ADMM algorithm assumed ideal network communication, which do not consider the impact of network delay on computing performance. In this paper, based on the strategy of selecting bridges with lowest network latency and appropriate iterative process, we propose a latency aware distributed ADMM algorithm to alleviate the impact of network delay. The classical algorithm and proposed algorithm are tested and compared in real network scenarios. Experiments show that the proposed algorithm reduces the running time and improves the computing performance. Especially in networks with large delay, the effect is more obvious.