scholarly journals Optimized Route Selection Method based on the Turns of Road Intersections: A Case Study on Oversized Cargo Transportation

2015 ◽  
Vol 4 (4) ◽  
pp. 2428-2445 ◽  
Author(s):  
Lingkui Meng ◽  
Zhenghua Hu ◽  
Changqing Huang ◽  
Wen Zhang ◽  
Tao Jia
Keyword(s):  
Selection Method ◽  
Route Selection ◽  
Road Intersections ◽  
Cargo Transportation

The Integrated Design of Urban Road Intersections: A Case Study

ICSDC 2011 ◽  
2012 ◽  
Author(s):  
Giuseppe Cantisani ◽  
Giuseppe Loprencipe ◽  
Francesco Primieri
Keyword(s):  
Integrated Design ◽  
Urban Road ◽  
Road Intersections

From Coarse to Fine: An Augmented Reality Based Dynamic Inspection Method for Visualized Railway Routing of Freight Cars

2021 ◽  
Author(s):  
Bing Yi ◽  
Renkai Sun ◽  
Long Liu ◽  
Yongfeng Song ◽  
Yinggui Zhang
Keyword(s):  
Augmented Reality ◽  
High Efficiency ◽  
Low Cost ◽  
Digital Data ◽  
Route Selection ◽  
Inspection Method ◽  
Envelope Model ◽  
Freight Car ◽  
Cargo Transportation ◽  
Selection Of

Abstract It is a challenge for the dynamic inspection of railway route for freight car transporting cargo that out-of-gauge. One possible way is using the inspection frame installed in the inspection train to simulate the whole procedure for cargo transportation, which costs a lot of manpower and material resources as well as time. To overcome the above problem, this paper proposes an augmented reality (AR) based dynamic inspection method for visualized railway routing of freight car with out-of-gauge. First, the envelope model of the dynamic moving train with out-of-gauge cargo is generated by using the orbital spectrum of the railway, and the envelope model is matched with a piece of homemade calibration equipment located on the position of the railway that needs to be inspected. Then, the structure from motion (SFM) algorithm is used to reconstruct the environment where the virtual envelope model occludes the buildings or equipment along the railway. Finally, the distance function is adopted to calculate the distance between the obstacle and the envelope of the freight car with out-of-gauge, determining whether the freight car can pass a certain line. The experimental results show that the proposed method performs well for the route selection of out-of-gauge cargo transportation with low cost, high precision, and high efficiency. Moreover, the digital data of the environments along the railway and the envelope of the freight car can be reused, which will increase the digitalization and intelligence for route selection of out-of-gauge cargo transportation.

Advances in Deepwater Pipeline Route Selection - A Gulf of Mexico Case Study

2004 ◽  
Author(s):  
N.P. Tootill ◽  
M.P. Vandenbossche ◽  
M.L. Morrison
Keyword(s):  
Gulf Of Mexico ◽  
Route Selection ◽  
Pipeline Route

scholarly journals Analysis of the Relationship between Turning Signal Detection and Motorcycle Driver’s Characteristics on Urban Roads; A Case Study

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1802 ◽  
Author(s):  
Micucci ◽  
Mantecchini ◽  
Sangermano
Keyword(s):  
Ad Hoc ◽  
Test Site ◽  
Stepwise Logistic Regression ◽  
Turn Signal ◽  
Suburban Areas ◽  
Road Intersections ◽  
The Relationship ◽  
Driver’S Characteristics

The investigations on the effectiveness of the turn signal in motorcyclists understanding of motorists’ potential intentions in potentially dangerous car–motorcycle interactions and on the relationships among some variables that could influence the perception of rear and front turn signal status are examined in this paper. The investigations have been based on data pooled from the answers of a survey of 136 motorcycle riders, with special regards to the correct detection of turning indicators. Experimental videos have been realized during in-situ simulations, both in urban and suburban areas, recording vehicular interactions in three-leg road intersections, able to potentially generate crash risks, through a 360-camera mounted on a motorcyclist’s helmet. The blinkers detection rate has been combined with other factors related to motorcyclist’s characteristics and test context (e.g., age, gender, location of the test site, presence of a car behind tester vehicles and if the motorcyclist are also habitual car or bicycle drivers) in a stepwise logistic regression that modelled the odds of detecting the turn signal turned on as a function of significant factors. Within the limits of the proposed methodology, the results highlight the low percentage of correct sighting of the turn indicators and confirm the existence of a relation between the detection of the turn indicators aspect and some of the variables considered (e.g., age, being habitual cyclist or car driver and the presence of a car occluding the views), suggesting the opportunity to further investigate the phenomenon through the use of ad-hoc simulations, in order to highlight connections among the factors that can influence the perception of turning indicators in potentially dangerous contexts for cars and motorcycles.

scholarly journals Comparison on Turn Costs in Accessibility Models. Case Study: Manizales, Colombia

2018 ◽  
Vol 12 (8) ◽  
pp. 59
Author(s):  
Santiago Cardona ◽  
Diego Escobar ◽  
Carlos Moncada
Keyword(s):  
Gradient Method ◽  
Transport Models ◽  
Global Average ◽  
Planning Decisions ◽  
Research Article ◽  
Road Intersections ◽  
Great Relevance ◽  
The City ◽  
Empirical Methodology

The transport models have taken great relevance in the last decades because they help to make big urban planning decisions. In this sense, supply models, such as global average accessibility, seek to approach more and more to reality in order to represent it in the best possible way. In this research article, we compare the different penalties for turns used in the global average accessibility models in the city of Manizales, being compared with the preliminary results of a research thesis in which the penalties for turns were calculated by means of an empirical methodology that analyzes different road intersections in the city. At the end, the savings gradient method is used to measure the differences between the different calculated scenarios.

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