Mobility Solution Architecture

2016 ◽  
pp. 75-88
Author(s):  
Jithesh Sathyan ◽  
Anoop Narayanan ◽  
Navin Narayan ◽  
K V Shibu
Keyword(s):  
Mobility Solution

scholarly journals Bus Rapid Transit System Introduction in Johor Bahru: A Simulation-Based Assessment

2021 ◽  
Vol 13 (8) ◽  
pp. 4437
Author(s):  
Sitti Asmah Hassan ◽  
Intan Nurfauzirah Shafiqah Hamzani ◽  
Abd. Ramzi Sabli ◽  
Nur Sabahiah Abdul Sukor
Keyword(s):  
Public Transport ◽  
Traffic Congestion ◽  
Economic Benefits ◽  
Bus Rapid Transit ◽  
Urban Mobility ◽  
Rapid Transit ◽  
Bus Priority ◽  
Time Saving ◽  
Transit System ◽  
Mobility Solution

Bus rapid transit (BRT) is one of the strategies to promote improvements in urban mobility. In this study, BRT scenarios, which integrate exclusive bus lanes and bus priority signal control in mixed traffic scenarios, were modelled using a VISSIM microsimulation. Three scenarios of BRT were modelled to represent 16:84, 38:62 and 54:46 modal splits between public transport and private vehicles. It was found that Scenario 4 (the 54:46 scenario) offers better benefits in terms of delay time saving and economic benefits. In general, it was found that the BRT system enhances the functioning of the transport system and provides people with faster and better mobility facilities, resulting in attractive social and economic benefits, especially on a higher modal split of public transport. It is regarded as one strategy to alleviate traffic congestion and reduce dependency on private vehicles. The finding of this study provides an insight on the effective concept of the BRT system, which may promote the dissemination of an urban mobility solution in the city. The results can help policymakers and local authorities in the management of a transport network in order to ensure reliable and sustainable transport.

scholarly journals Application-Based COVID-19 Micro-Mobility Solution for Safe and Smart Navigation in Pandemics

2021 ◽  
Vol 10 (8) ◽  
pp. 571
Author(s):  
Sumit Mishra ◽  
Nikhil Singh ◽  
Devanjan Bhattacharya
Keyword(s):  
Data Analysis ◽  
Routing Algorithm ◽  
Open Data ◽  
Route Planning ◽  
Contact Tracing ◽  
Residential Areas ◽  
Environment Exposure ◽  
Micro Mobility ◽  
Spatial System ◽  
Mobility Solution

Short distance travel and commute being inevitable, safe route planning in pandemics for micro-mobility, i.e., cycling and walking, is extremely important for the safety of oneself and others. Hence, we propose an application-based solution using COVID-19 occurrence data and a multi-criteria route planning technique for cyclists and pedestrians. This study aims at objectively determining the routes based on various criteria on COVID-19 safety of a given route while keeping the user away from potential COVID-19 transmission spots. The vulnerable spots include places such as a hospital or medical zones, contained residential areas, and roads with a high connectivity and influx of people. The proposed algorithm returns a multi-criteria route modeled on COVID-19-modified parameters of micro-mobility and betweenness centrality considering COVID-19 avoidance as well as the shortest available safe route for user ease and shortened time of outside environment exposure. We verified our routing algorithm in a part of Delhi, India, by visualizing containment zones and medical establishments. The results with COVID-19 data analysis and route planning suggest a safer route in the context of the coronavirus outbreak as compared to normal navigation and on average route extension is within 8%–12%. Moreover, for further advancement and post-COVID-19 era, we discuss the need for adding open data policy and the spatial system architecture for data usage, as a part of a pandemic strategy. The study contributes new micro-mobility parameters adapted for COVID-19 and policy guidelines based on aggregated contact tracing data analysis maintaining privacy, security, and anonymity.

A mobility solution for low power and lossy networks using the LOADng protocol

2020 ◽  
Vol 31 (12) ◽  
Author(s):  
Allan J. R. Gonçalves ◽  
Ricardo A. L. Rabêlo ◽  
Joel J. P. C. Rodrigues ◽  
Luís M. L. Oliveira
Keyword(s):  
Low Power ◽  
Lossy Networks ◽  
Mobility Solution

Teaching Note: Case 10: Irrway—A Green Personal Mobility Solution

2017 ◽  
pp. 79-84
Author(s):  
M. S. Chandrashekar ◽  
Gaurav Sharma ◽  
Basant P. Rangadhol ◽  
Ashwin Petkar ◽  
Mohan Mookan ◽  
...  
Keyword(s):  
Personal Mobility ◽  
Mobility Solution

A Hybrid Mobility Solution Method for Dynamically Loaded Misaligned Journal Bearings

2012 ◽  
Author(s):  
S. Boedo
Keyword(s):  
Finite Element ◽  
Reynolds Equation ◽  
Solution Method ◽  
Hybrid Approach ◽  
Journal Bearings ◽  
Finite Element Solution ◽  
Computational Time ◽  
Element Solution ◽  
Dynamically Loaded ◽  
Mobility Solution

This paper presents a hybrid mobility solution approach to the analysis of dynamically loaded misaligned journal bearings. Mobility data obtained for misaligned bearings (calculated from a finite element representation of the Reynolds equation) are compared with existing curve-fitted mobility maps representative of a perfectly aligned bearing. A relative error analysis of mobility magnitude and direction provides a set of misaligned journal bearing configurations (midplane eccentricity ratio and normalized misalignment angle) where existing curve-fitted mobility map components based on aligned bearings can be used to calculate the resulting journal motion. For bearing configurations where these mobility maps are not applicable, the numerical simulation process proceeds using a complete finite element solution of the Reynolds equation. A set of numerical examples representing misaligned main and connecting rod bearings in a four-stroke automotive engine illustrate the hybrid solution method. Substantial savings in computational time are obtained using the hybrid approach over the complete finite element solution method without loss of computational accuracy.

scholarly journals Benefits and obstacles of sustainable product development methods: a case study in the field of urban mobility

2017 ◽  
Vol 3 ◽  
Author(s):  
Rainer Stark ◽  
Tom Buchert ◽  
Sabrina Neugebauer ◽  
Jérémy Bonvoisin ◽  
Matthias Finkbeiner
Keyword(s):  
Product Development ◽  
Sustainability Assessment ◽  
Development Project ◽  
Passenger Cars ◽  
Design Engineers ◽  
Sustainable Products ◽  
Design For Sustainability ◽  
Sustainable Product Development ◽  
Sustainable Product ◽  
Mobility Solution

In the last few years, numerous approaches have been introduced for supporting design engineers in developing more sustainable products. However, so far, these efforts have not led to the establishment of a commonly acknowledged standard methodology for Sustainable Product Development (SPD). This brings into question the relevance of developing new methods and calls for more efforts in testing the available ones. This article provides a reflection about the benefits and obstacles of applying existing SPD approaches to a real product development project. It reports the results of a project aimed at developing a new mobility solution under the constraints of sustainability-related targets. This project has led to the development of a new pedelec concept, focusing on the substitution of small passenger cars with the help of three SPD methods – Design for Sustainability Guidelines, Product Sustainability Index, and Life Cycle Sustainability Assessment. These methods have proved to be generally beneficial, thanks to a combination of qualitative and quantitative perspectives. However, the multitude of criteria offered by the methods put forth difficulties in evaluating which sustainability aspects are relevant and therefore lead to higher effort for information retrieval analysis and decision processes. Furthermore, the methods still lack an integrated perspective on the product, the corresponding services and the overarching system.

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