Browse Prior Art Database

System and method for individual's commute time optimization

IP.com Disclosure Number: IPCOM000240972D
Publication Date: 2015-Mar-16
Document File: 5 page(s) / 78K

Publishing Venue

The IP.com Prior Art Database

Abstract

This work describes a system and method for creating optimal commute schedule for an extended time period (e.g. day or week) for a person who needs to travel between several places to participate in scheduled meetings.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 25% of the total text.

Page 01 of 5

System and method for individual '

Introduction and Problem Statement

The described system is aimed at solving a problem of commute time minimization for employees who need to travel between home and one or more company offices or client locations. Presented solution takes into account traffic jam information and scheduled meetings.

Typical office workers have lots of scheduled meetings in their work calendar. Some companies have multiple offices in same town and meetings can be scheduled in different locations including client offices or other meeting points if employee's occupation includes customer visits, e.g. if they are salesmen. Therefore, employee has to travel between home and multiple working locations during a day.

However, in large cities travellers often suffer from traffic congestion: at certain times road saturation increases, which leads to slower speeds. Traffic congestion leads to excess fuel usage and carbon emissions, which negatively impacts environment. Slower speeds and overall congestion complicates accurate travel time prediction forcing drivers to allocate more time to travel "just in case" and less time on productive activities. Frequent acceleration and braking leads to excess wear and tear of vehicles. Morning and evening rush hours are mainly caused by fixed working schedule in a vast majority of organizations, e.g. 9am - 6pm. When thousands of citizens travel to arrive to their office at 9am and leave office at 6pm, traffic congestion on the roads becomes highest. During rush hour commute time between locations can be up to several times longer than during non-rush hour. Additionally, in very large cities (e.g. Moscow, Istanbul, Milan, London, New York, etc) traffic congestion occurs at certain city locations not only during morning and evening rush hour, but at other times as well.

In order to reduce time wasted in commute, many modern companies introduce notions of "flexible working schedule" and "mobile employee". In such companies it is up to employee to decide from which location to work every day, as well as by which time to arrive to the particular office or work from home. When deciding from which particular location to work today, employee has to take into account scheduled meetings, their location and attendance requirement.

This setting becomes more complex when employee wants to take into account traffic situation in the city. Rush hour may occur at slightly different times depending on day of the work week (e.g. evening rush hour occurs a bit earlier on Friday), weather and even a season. It is desirable for employees to leverage flexible working schedule and spend as less time as possible in commute. However, commute time optimization is too complex to be optimally solved by people mentally, because there are a lot of factors

which must be taken into account. For example, some meetings could be attended via conference call and no travel is required, but certain work meetings can be man...