scholarly journals Dynamic Route Flow Estimation in Road Networks Using Data from Automatic Number of Plate Recognition Sensors

2021 ◽  
Vol 13 (8) ◽  
pp. 4430
Author(s):  
Santos Sánchez-Cambronero ◽  
Fernando Álvarez-Bazo ◽  
Ana Rivas ◽  
Inmaculada Gallego
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Road Networks ◽  
Dynamic Traffic ◽  
Flow Estimation ◽  
Using Data ◽  
Dynamic Route ◽  
First In First Out ◽  
Eastern Massachusetts

The traffic flow on road networks is dynamic in nature. Hence, a model for dynamic traffic flow estimation should be a very useful tool for administrations to make decisions aimed at better management of traffic. In fact, these decisions may in turn improve people’s quality of life and help to implement good sustainable policies to reduce the external transportation costs (congestion, accidents, travel time, etc.). Therefore, this paper deals with the problem of estimating dynamic traffic flows in road networks by proposing a model which is continuous in the time variable and that assumes the first-in-first-out (FIFO) hypothesis. In addition, the data used as model inputs come from Automatic Number of Plate Recognition (ANPR) sensors. This powerful data permits not only to directly reconstruct the route followed by each registered vehicle but also to evaluate its travel time, which in turn is also used for the flow estimation. In addition, the fundamental variable of the model is the route flow, which is a great advantage since the rest of the flows can be obtained using the conservation laws. A synthetic network is used to illustrate the proposed method, and then it is applied to the well-known Nguyen-Dupuis and Eastern Massachusetts networks to prove its usefulness and feasibility. The results on all the tested networks are very positive and the estimated flows reproduce the simulated real flows fairly well.

scholarly journals Using Data Mining to Analyze Dwell Time and Nonstop Running Time in Road-Based Mass Transit Systems

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1217
Author(s):  
Teresa Cristóbal ◽  
Gabino Padrón ◽  
Alexis Quesada ◽  
Francisco Alayón ◽  
Gabriel de Blasio ◽  
...  
Keyword(s):  
Data Mining ◽  
Travel Time ◽  
Dwell Time ◽  
Mass Transit ◽  
Transit Systems ◽  
Running Time ◽  
Bus Stop ◽  
Transport Line ◽  
Using Data

Travel Time plays a key role in the quality of service in road-based mass transit systems. In this type of mass transit systems, travel time of a public transport line is the sum of the dwell time at each bus stop and the nonstop running time between pair of consecutives bus stops of the line. The aim of the methodology presented in this paper is to obtain the behavior patterns of these times. Knowing these patterns, it would be possible to reduce travel time or its variability to make more reliable travel time predictions. To achieve this goal, the methodology uses data related to check-in and check-out movements of the passengers and vehicles GPS positions, processing this data by Data Mining techniques. To illustrate the validity of the proposal, the results obtained in a case of use in presented.

scholarly journals A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance

2018 ◽  
Vol 11 (1) ◽  
pp. 170 ◽  
Author(s):  
Xinhua Mao ◽  
Jianwei Wang ◽  
Changwei Yuan ◽  
Wei Yu ◽  
Jiahua Gan
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Heavy Traffic ◽  
Pollutant Emissions ◽  
Pavement Performance ◽  
Dynamic Traffic ◽  
Teaching Learning ◽  
Pavement Damage

Existing Dynamic Traffic Assignment (DTA) models assign traffic flow with the principle of travel time, which are easy to distribute most of the traffic flows on the shortest path. A serious unbalance of traffic flow in the network can speed up pavement deterioration of highways with heavy traffic, which influences the sustainability of pavement performance and increases maintenance expenditures. The purpose of this research is to obtain a more optimized traffic assignment for pavement damage reduction by establishing a multi-objective DTA model with the objectives of not only minimum travel time but minimum decline of Present Serviceability Index (PSI) for pavements. Then, teaching-learning-based optimization (TLBO) algorithm is utilized to solve the proposed model. Results of a case study indicate that a more balanced traffic flow assignment can be realized by the model, which can effectively reduce average PSI loss, save maintenance expenditures, extend pavement service life span, save fuel consumption and reduce pollutant emissions in spite of a little increase of average travel time. Additionally, sensitivity of weight factor for the two objective functions is analyzed. This research provides some insights on methods on sustainable pavement performance.

Traffic flow estimation at error prone locations using dynamic traffic flow modeling

2017 ◽  
Vol 11 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Shrikant Fulari ◽  
Ajitha Thankappan ◽  
Lelitha Vanajakshi ◽  
Shankar Subramanian
Keyword(s):  
Traffic Flow ◽  
Flow Modeling ◽  
Dynamic Traffic ◽  
Flow Estimation ◽  
Traffic Flow Estimation

Dynamic Traffic Flow Model for Travel Time Estimation

2015 ◽  
Vol 2526 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Ting Yi ◽  
Billy M. Williams
Keyword(s):  
Fixed Point ◽  
Travel Time ◽  
Traffic Flow ◽  
Measurement Errors ◽  
Flow Model ◽  
Dynamic Models ◽  
Estimation Method ◽  
Dynamic Traffic ◽  
Traffic Flow Model ◽  
Point Detector

Travel time, as a fundamental measurement for intelligent transportation systems, is becoming increasingly important. Because of the wide deployment of fixed-point detectors on freeways, if travel time can be accurately estimated from point detector data, the indirect estimation method is cost-effective and widely applicable. This paper presents a modified dynamic traffic flow model for accurately estimating the travel time of freeway links under transition and congestion conditions with fixed-point detector data. The modified estimation model is based on a thorough analysis of the dynamic traffic flow model. The applications and the limitations of the model are analyzed for theory, equation derivation, and modifications. Through a simulation study and real traffic data, the (modified) dynamic models are compared according to performance measurements. A comparison of the estimated results and measurement errors shows the accuracy of the modified dynamic model for estimating the travel times of freeway links under transition and congestion traffic conditions.

Towards improving quality of video-based vehicle counting method for traffic flow estimation

2016 ◽  
Vol 120 ◽  
pp. 672-681 ◽  
Author(s):  
Yingjie Xia ◽  
Xingmin Shi ◽  
Guanghua Song ◽  
Qiaolei Geng ◽  
Yuncai Liu
Keyword(s):  
Traffic Flow ◽  
Counting Method ◽  
Flow Estimation ◽  
Traffic Flow Estimation

Modeling and simulation of network traffic flow evolution based on incomplete information feedback strategies in the ATIS environment

2017 ◽  
Vol 08 (03) ◽  
pp. 1750031
Author(s):  
Jianqiang Wang ◽  
Shiwei Li
Keyword(s):  
Incomplete Information ◽  
Travel Time ◽  
Traffic Flow ◽  
Network Traffic ◽  
Route Choice ◽  
Road Networks ◽  
Urban Traffic ◽  
Traffic Information ◽  
Information Feedback ◽  
Feedback Strategies

Considering both the high complexity of urban traffic flow systems and the bounded rationality of travelers, providing traffic information to all travelers is an effective method to induce each individual to make a more rational route-choice decision. Within Advanced Traveler Information System (ATIS) working environment, temporal and spatial evolution processes of traffic flow in urban road networks are closely related to strategies of providing traffic information and contents of information. In view of the day-to-day route-choice situations, this study constructs original updating models of the cognitive travel time of travelers under four conditions, including not providing any route travel time, only providing the most rapid route travel time, only providing the most congested route travel time, and providing all the routes travel times. The disaggregate route-choice approach is adopted for simulation to reveal the relationship between the evolution process of network traffic flow and the strategy of providing traffic information. The simulation shows that providing traffic information to all travelers cannot improve the operational efficiency of road networks. It is noteworthy that an inappropriate information feedback strategy would lead to intense variation in various routes traffic flow. Compared with incomplete information feedback strategies, it is inefficient and superfluous to provide complete traffic information to all travelers.

Effect of networks on product innovation: empirical evidence from Indonesian SMEs

2013 ◽  
Vol 1 (2) ◽  
pp. 140-158 ◽  
Author(s):  
Nurul Indarti ◽  
Theo Postma
Keyword(s):  
Empirical Evidence ◽  
Product Innovation ◽  
Dynamic Effects ◽  
Depth Of Knowledge ◽  
External Knowledge ◽  
Software Firms ◽  
Using Data

Innovative companies generally establish linkages with other actors and access external knowledge in order to benefit from the dynamic effects of interactive processes. Using data from 198 furniture and software firms in Indonesia, this study shows that the quality of interaction (i.e. multiplexity) as indicated by the depth of knowledge absorbed from various external parties and intensity of interaction (i.e., tie intensity) are better predictors of product innovation than the diversity of interaction.

Founding Family Ownership and the Selection of Industry Specialist Auditors

2014 ◽  
Vol 28 (2) ◽  
pp. 261-276 ◽  
Author(s):  
Fei Kang
Keyword(s):  
Financial Reporting ◽  
Family Firms ◽  
Structure And Agency ◽  
Founding Family ◽  
Using Data ◽  
Dual Class Shares ◽  
Dual Class ◽  
Selection Of ◽  
Industry Specialist

SYNOPSIS This study examines how family firms' unique ownership structure and agency problems affect their selection of industry-specialist auditors. Using data from Standard & Poor's (S&P) 1500 firms, the results show that family firms are more likely to appoint industry-specialist auditors than non-family firms, which suggests that family firms have strong incentives to signal the quality of financial reporting. Additional analysis indicates that due to the potential entrenchment problems, family firms with family member CEOs or with dual-class shares have even a higher tendency to hire industry-specialist auditors to signal their disclosure quality.

Institutions and Political Support

2017 ◽  
Author(s):  
Shaun Bowler
Keyword(s):  
Political Institutions ◽  
Political Process ◽  
Institutional Reform ◽  
Institutional Arrangements ◽  
Individual Characteristics ◽  
Political Support ◽  
The Political ◽  
General Expectation ◽  
Using Data

This chapter analyzes to what extent variation in political institutions affects political support. The chapter observes that the existing research is not always clear on which institutions should produce what kind of effect, although a general expectation is that institutional arrangements improve political support when they give citizens an increased sense of connection to the political process. In general then, we should expect institutions that strengthen the quality of representation to strengthen political support. This general expectation is specified in six hypotheses that are tested using data from the ESS 2012. The chapter demonstrates that electoral systems that provide voters with more choice about candidates, multiparty governments, and “responsive” legislatures, correlate positively with political support. However, compared to other macro-level factors and individual characteristics, the effects of political institutions on political support are modest. The chapter concludes that the prospects for institutional reform to strengthen political support are limited.

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