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Smarter Cities : Establishing economic value of route segment through dynamic analysis.

IP.com Disclosure Number: IPCOM000246349D
Publication Date: 2016-Jun-02
Document File: 2 page(s) / 33K

Publishing Venue

The IP.com Prior Art Database

Abstract

An approach for doing comparative economic impact of different routes at national level.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 2

Smarter Cities : Establishing economic value of route segment through dynamic analysis.

Companies are working with government agencies to make the cities smarter. An important aspect of cities is connectivity infrastructure which can be roadways, metro links, airways etc which help people commute from one destination to other. Quite often citizens experience delays in roadways. The delay can be most commonly due to traffic congestion and there can be other reasons like poor road quality, waterlogging and so on. Every delay for commuting people and transporting goods leads to loss to the economy in currency terms. It is of utmost importance of government agencies to understand this loss by using data gathered from multiple sources, so that they can take smarter decisions to minimize such losses.

This article proposes to answer some of these questions - What is the loss to the economy in currency due to a 10 min delay in this route ? How do prioritize which route to focus, out of all the available routes to minimize the loss to the economy ? The bottomline question, which route has maximum economic value ?

This article proposes to determine the economic value of a route segment to help us answer these questions.

The current article deals with calculating the economic value of a route and quantify the economic loss caused by traffic congestion at various routes.

Key Features:

1 - This article proposes to calculate the economic value of a road segment (or any other route segment) in terms of currency per unit time, based on considering and analyzing below parameters over a period of time
1. User profile, The profile of commuters using the road, in terms of their income, historical expenditure data and other factors.

2. Route profile, The source and target destination of the commuters.

3. Vehicular profile,The vehicular profile to identify type of vehicle being used, an example to differentiate between commercial and consumer vehicles.

Weighted factor of above parameters is used and multiplied those with volume of commuters to establish economic value of route or amount worth of capital transitioned on given route.

2 : The economic value of the road can be used to answer the loss to the country in case there is a delay in transition of people and goods in the route

3: The economic value of the road can vary with time. For eg, the majority of people travelling on the route can be office goers during the weekdays. And on weekends, only shoppers use the route. Therefore, the economic value of the road differs from weekdays and weeken...