Browse Prior Art Database

System and Method to improve user experience of public transportation Disclosure Number: IPCOM000210121D
Publication Date: 2011-Aug-26
Document File: 8 page(s) / 401K

Publishing Venue

The Prior Art Database


A system that provide bus trip planning service, which can help public transportation users choose the most appropriate bus lines and transfers based on real time and predicted traffic data and improve their user experience. Firstly, the system collect various input, such as, public event, weather information, public bus location (GPS information), on-boarding passenger information etc. Then, it will process and analyze those information and built useful public transportation information, which are used to provide decision support for public transportation users to improve their user experiences.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 10% of the total text.

Page 01 of 8

System and Method to improve user experience of public transportation

In 2004, transportation frequency in Beijing is 2.42 times per person each day. This data shows transportation plays a very important role in our daily life. For environment protection and smarter city planning, we encourage public transportation, but the result leaves much to be desired. For example, in China, bus travel sharing ratio is less than 10%, with 20% in megacity.

Bus Travel Sharing Ratio = [Bus Passengers Number] / [Total Transportation Number] * 100%

Bad user experience is the main reason for this lowsharing ratio. Passengers always need to waste half an hour on waiting, or take the crowded bus, or stick in a traffic congestion, or suffer the high temperature without air conditioning in the hot summer, or interchange for many times. These cases almost cause passengers crazy.

There are many existed transportation planning systems. These systems have some drawbacks:

1. Service access way is limited. We can only access these services through internet (Website on PC, or WAP on mobile phone).

2. Transportation planning objective is limited. Existed systems only support three querying objective: shortest route length (shortest time: shortest route length / average speed), fewest interchange times, or shortest walk length.


Page 02 of 8

(This page contains 00 pictures or other non-text object)

Figure 1. Planning Objective

3. Querying result is not good enough. When we query bus routes from "Peking University" to "Worker's Gymnasium", some existing map service provides five routes marked by blue color in Figure 2. If traffic congestion happens in the red area, these routes will just push more people into this congestion. In this condition, the red route provided by our system will be the best route. All the other transportation systems also have this drawback.


Page 03 of 8

(This page contains 00 pictures or other non-text object)

Figure 2. Querying Result by existing map service

Our invention aims to improve user experience of public transportation, works at transportation planning, and provides best routes as passengers really need.

In our system, there are four main steps as shown in Figure 3.

1. Firstly, bus dispatching center will gather many different types of data, such as bus utility, real time bus arrival time, passenger's mobile phone GPS data, future public events, and so on.

2. According to these data, we can predict each bus's arrival time, free seat count, and so on.

3. Then this system will provide best routes according to people's different objectives. For example, passengers maybe want to find a bus route


Page 04 of 8

with free seat, air conditioning, least time, and less than two interchange times. Passengers can alsoaccess many other services by mobile phone, for example, order the timesheet of bus 166 after 08:30, or be informed when bus 166 will reach "Peking University" station in 10 minutes.

4. Passengers may feed back some infor...