scholarly journals TIME HEADWAY DISTRIBUTION MODEL BASED ON THE COMPOSITION OF FREE AND CONSTRAINED FLOWING VEHICLES

1983 ◽  
Vol 1983 (336) ◽  
pp. 159-168 ◽  
Author(s):  
Youichi TAMURA ◽  
Takeshi CHISHAKI
Keyword(s):  
Distribution Model ◽  
Time Headway ◽  
Model Based ◽  
Headway Distribution

scholarly journals TIME HEADWAY ANALYSIS TO DETERMINE THE ROAD CAPACITY

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
I Wayan Suweda
Keyword(s):  
Developed Countries ◽  
Distribution Model ◽  
Analysis Model ◽  
Time Headway ◽  
The Road ◽  
Traffic Conditions ◽  
Traffic Characteristics ◽  
Road Capacity ◽  
Headway Distribution ◽  
The City

ABSTRACT: In developed countries, road capacity values derived from time headway is in accordance to their local traffic characteristics. In theory, time headway standards are developed using statistics models. These standards however, are not necessarily relevant to use in Indonesia. This is because of the differences in traffic conditions and motorists behaviours between those in developed countries and Indonesia. This study is to develop the time headway distribution model and subsequently to determine lionk-road capacity in the city of Denpasar, Bali Province. The study consists of time headway data analysis, model calibration and validation and road capacity values??determination. The study found that normal distribution model fitted the local traffic conditions. Road capacity values are of  2,466 pcus/hour and 2,900 pcus/hour obtained from time headway model and the Indonesian Road Capacity Manual (MKJI) respectively.

scholarly journals SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

2021 ◽  
Vol 235 ◽  
pp. 03035
Author(s):  
jiaojiao Lv ◽  
yingsi Zhao
Keyword(s):  
Network Model ◽  
Purchase Intention ◽  
Recommendation System ◽  
Optimal Algorithm ◽  
Dynamic Network ◽  
Distribution Model ◽  
Recommendation Algorithm ◽  
Model Based ◽  
Dynamic Network Model ◽  
Recommendation Algorithms

Recommendation system is unable to achive the optimal algorithm, recommendation system precision problem into bottleneck. Based on the perspective of product marketing, paper takes the inherent attribute as the classification standard and focuses on the core problem of “matching of product classification and recommendation algorithm of users’ purchase demand”. Three hypotheses are proposed: (1) inherent attributes of the product directly affect user demand; (2) classified product is suitable for different recommendation algorithms; (3) recommendation algorithm integration can achieve personalized customization. Based on empirical research on the relationship between characteristics of recommendation information (independent variable) and purchase intention (dependent variable), it is concluded that predictability and difference of recommendation information are not fully perceived and stimulation is insufficient. Therefore, SIS dynamic network model based on the distribution model of SIS virus is constructed. It discusses the spreading path of recommendation information and “infection” situation of consumers to enhance accurate matching of recommendation system.

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