DE202023107003U1 - A system for estimating multimodal travel times for inner-city public transport - Google Patents

Abstract

A system (100) for estimating multimodal travel times of inner-city public transportation, the system (100) comprising:a plurality of input devices (102) for capturing multiple details of a selected public transportation vehicle as input to create a data set;a central processing unit (CPU) (104) connected to the input device (102) to process the collected input data to obtain multimodal travel time, real-time location and occupancy of the selected public transport in calculating the distance between a starting point and an end point of the selected public transport based on the variety of input details; and a user device (106) connected to the CPU (104) via a communication unit (108) for displaying the calculated multi-modal travel time, the real-time location and the occupancy of the passenger in the selected public transport.

Description

FIELD OF THE INVENTION

The present invention relates to the field of data processing systems. In particular, the present invention relates to a system for estimating multimodal travel times of inner-city public transport based on travel data collection.

BACKGROUND OF THE INVENTION

In today's world, people travel from one place to another, be it for work or on vacation, and therefore is considered an important part of human activities. However, the current modes of transportation are not well-equipped and inefficient, leading to different behavior in choosing transportation modes, resulting in higher travel costs, fuel waste, pollution and deterioration of environmental quality. Commuters are not aware of the timetable and availability of public transport and therefore do not have to spend more money or time on the journey.

The recent pandemic presents a major challenge to transportation planners and requires a smart solution for contactless commuting. The commutator must know the occupancy of the vehicle and the travel costs before boarding a means of transport.

Various travel management techniques have been developed that use information and communication technologies (ICT) to prevent overcrowding in public transport. Efforts have been made to encourage people to use public transportation to reduce the burden on road construction, automobile manufacturing, pollution, traffic, and energy sources. However, due to increasing demand, public transport in major cities is often overcrowded and delayed, switching to either private vehicles or taxi services.

Various applications are available that display public transport timetables and routes. However, these are inaccurate as traffic increases, resulting in a difference between the estimated and actual time. In addition, people have to travel a few kilometers from their home to reach a public transportation pick-up point, resulting in a waste of time, and therefore prefer personal transportation or taxis for transportation, which do not serve their purpose.

Therefore, to overcome the above-mentioned limitations, there is a need to develop a novel and efficient system for estimating the multimodal travel times of urban public transportation based on collecting travel data by performing mobility analysis to recognize the real-time route map of the public transportation.

The technical advances disclosed by the present invention overcome the limitations and disadvantages of existing and conventional systems and methods.

SUMMARY OF THE INVENTION

The present invention generally relates to a system for estimating multimodal travel times of inner-city public transport based on the collection of travel data.

An object of the present invention is to provide a system for estimating multimodal travel times of inner-city public transport based on the collection of travel data;

Another object of the present invention is to obtain the real-time route map of the public transportation vehicle.

Yet another object of the present invention is to detect the presence of the passenger in the vehicle.

Another object of the present invention is to provide a cost-effective and accurate system for a user-friendly public transport travel experience.

A system for estimating multimodal travel times of urban public transportation, the system comprising: a plurality of input devices for capturing a variety of details of a selected public transportation as input to create a data set; a central processing unit (CPU) connected to the input unit to process the collected input data to obtain multimodal travel time, real-time location and occupancy of the selected public transport by calculating the distance between a starting point and an end point of the selected public transport based on the variety of input details; and a user device connected to the CPU via a communication unit to display the calculated multimodal travel time, real-time location and occupancy of the passenger in the selected public transport.

In order to further illustrate the advantages and features of the present invention, a more detailed description of the invention will be made with reference to specific embodiments thereof shown in the accompanying drawings. It is understood that this drawing represents only typical embodiments of the invention and is therefore not to be viewed as limiting its scope. The invention is described and explained in more detail and in more detail with reference to the accompanying drawing.

BRIEF DESCRIPTION OF THE FIGURES

• 1 zeigt ein Blockdiagramm eines Systems zur Schätzung multimodaler Fahrzeiten innerstädtischer öffentlicher Verkehrsmittel.

These and other features, aspects and advantages of the present invention will be better understood when the following detailed description is read with reference to the accompanying drawings, in which like reference numerals represent like parts, in which:

• 1 shows a block diagram of a system for estimating multimodal travel times for inner-city public transport.

Additionally, experienced craftsmen will recognize that elements in the drawing are shown for convenience and may not necessarily have been drawn to scale. For example, the flowcharts illustrate the method through key steps that help improve understanding of aspects of the present disclosure. Additionally, in view of the construction of the device, one or more components of the device may have been represented in the drawing by conventional symbols, and the drawing may show only the specific details relevant to understanding the embodiments of the present disclosure around the drawing not to be obscured by details that would be readily apparent to one of ordinary skill in the art who would benefit from the description herein.

DETAILED DESCRIPTION:

In order to promote understanding of the principles of the invention, reference will now be made to the embodiment shown in the drawings and specific language will be used to describe the same. It is to be understood, however, that this is not intended to limit the scope of the invention, since changes and further modifications to the system illustrated and further applications of the principles of the invention set forth therein are contemplated as would normally occur to one skilled in the art Technology to which the invention relates.

It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and illustrative of the invention and are not intended to limit the same.

References in this specification to “an aspect,” “another aspect,” or similar language mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention is included. Therefore, the phrases “in one embodiment,” “in another embodiment,” and similar phrases in this specification may, but not necessarily, refer to the same embodiment.

The terms “includes,” “comprising,” or other variations thereof are intended to cover non-exclusive inclusion, such that a process or method that includes a list of steps not only includes those steps, but may include other steps not expressly listed or are inherent in that process or method. Likewise, one or more devices or subsystems or elements or structures or components prefixed with "comprises...a" do not exclude, without further limitation, the existence of other devices or other subsystems or other elements or other structures from other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as generally understood by one of ordinary skill in the art to which this invention pertains. The system, methods and examples provided herein are for illustrative purposes only and are not intended to be limiting.

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

1 shows a block diagram of a system (100) for estimating multimodal travel times of inner-city public transport, the system (100) comprising: a plurality of input devices (102), a central processing unit (CPU) (104), a user device (106) and a Communication unit (108).

The multiple input devices (102) are used to record multiple details of a selected public transport vehicle as input to create a data record.

• eine Kamera (102a) zum Erfassen des Bildes der Passagierbelegung im Fahrzeug; und
• ein globales Positionierungssystem (102b) zum Messen des Echtzeitstandorts des Fahrzeugs.

The multiple input devices (102) consist of:

• a camera (102a) for capturing the image of passenger occupancy in the vehicle; and
• a global positioning system (102b) for measuring the real-time location of the vehicle.

The central processing unit (CPU) (104) is connected to the input device (102) to process the collected input data to obtain multimodal travel time, real-time location and occupancy of the selected public transport in calculating the distance between a starting point and an end point of the selected public transport based on the variety of input details. The user device (106) is connected to the CPU (104) via a communication unit (10 8) to display the calculated multimodal travel time, the real-time location and the occupancy of the passenger in the selected public transport.

In one embodiment, the central processing unit (CPU) (104) processes the image captured by the camera to obtain occupancy data of the passenger in the vehicle and processes the real-time location of the vehicle to estimate the multi-modal travel time.

In one embodiment, a user interface unit (102c) is connected to the input device (102) to enter details about the vehicle, the route map traveled by the vehicle, start and stop points, and the number of stops between the start and stop points.

In one embodiment, the user interface unit (102c) includes a display and a keyboard for providing the user's input details.

In one embodiment, the multiple details include a real-time location of the vehicle, the vehicle license plate number, start and stop points of the vehicle, the wait time of a vehicle at each stop, and traffic and occupancy details of the vehicle.

In one embodiment, a database (102d) is connected to the plurality of input devices (102) to store the plurality of details of the created data set.

In one embodiment, the communication unit (108) is either a wired or a wireless medium for establishing communication between the central processing unit (104) and the user device (106).

In one embodiment, the user interface device is either a smartphone, a laptop, or a computer.

In an exemplary embodiment, the public transport unit data is collected from the Hyderabad City TSRTC. A total of 1,005 different buses run through the city and make 44,000 trips every day. From the 1005 different buses, 15 buses are selected and their respective routes are the corridors that pass through different major areas and cover 30% of the city's extent. The traffic data such as the travel time from one stop to another and the stopping time of each bus at each stop are collected using the license plate method, video graphics methods, GPS tracking, etc. A smartphone is installed in the vehicle to measure and record the distance between stops, stopping the use of the GPS integrated in the smartphone. The travel time and stop time data of the two selected transport modes (city bus and car) are collected and analyzed for one week during weekday and rush hours.

In one embodiment, the user interface unit has three buttons: start, stop and end buttons. Before each click on the start and stop button, the user must enter the name of the bus stop or car stop and the occupancy of the vehicle in which the user is traveling and all other data. Once the destination is reached, the user must click the Destination button to view the times the user clicked the buttons, the distance between points for each set of start and stop buttons, and the name of the stop or vehicle occupancy etc. is displayed. The travel time between two consecutive train stations and the stopping time of the vehicle when passengers get on and off and at traffic lights are calculated. The cumulative travel and stopping time is calculated for each route, for both modes during the morning and evening rush hours. The calculation is done for 6-day data from 15 selected corridors and the 6-day average is calculated to ultimately determine the average travel speed in minutes per kilometer in each corridor. Table 1: For city buses Sl. No. Route no. Total dis. (km) Avg. Driving speed (minutes/km) Avg. Travel time (minutes) Morning rush hour Evening peak times Morning rush hour Evening peak times 1 1 9.5 6.23 5.49 59.17 52.16 2 2U 15.8 4.44 4.24 70.17 67.00 3 3 20.4 4.67 4.77 95.33 97.33 4 5 M 12.5 4.25 4.52 53.16 56.50 5 6C 20.2 3.57 3.94 72.17 79.50 6 10 9.8 6.43 5.26 63.00 51.50 7 280 23.2 3.70 3.00 85.83 69.67 8th 8C 19.3 4.27 3.46 82.33 66.83 9 113KL 31.8 4.76 4.80 151.50 152.66 10 118 8.1 3.50 3.33 28.33 27.00 11 158.2 77D 36.6 4.34 4.16 158.67 152.33 12 158.2 99 28.3 4.33 3.57 122.50 101.00 13 277 33.5 3.13 3.07 104.83 102.83 14 225L. 299 50.4 3.38 3.39 170.17 171.00 15 219.2 29 40.5 3.49 3.27 141.33 132.51 Table 2: For car Sl. No. Route no. Total dis. (km) Avg. Driving speed (minutes/km) Avg. Travel time (minutes) Morning rush hour Evening peak times Morning rush hour Evening peak times 1 1 9.5 6.03 5.61 57.29 53.30 2 2U 15.8 4.28 4.04 67.62 63.83 3 3 20.4 4.51 4.59 92.00 93.64 4 5 M 12.5 4.02 4.49 50.25 56.13 5 6C 20.2 3.39 3.83 68.48 77.37 6 10 9.8 6.18 5.04 60.56 49.39 7 280 23.2 3.54 2.87 82.13 69.58 8th 8C 19.3 4.07 3.35 78.55 64.66 9 113KL 31.8 4.49 4.55 142.78 144.69 10 118 8.1 3.46 3.24 03/28 26.24 11 158.2 77D 36.6 4.08 3.95 149.33 144.57 12 158.3 28.3 4.16 3.44 117.73 97.35 13 277 33.5 2.95 2.93 98.83 98.16 14 225L. 299 50.4 3.15 3.20 158.76 161.28 15 219.2 3 40.5 3.30 3.11 133.65 125.96

The drawing and the description above provide examples of embodiments. Those skilled in the art will recognize that one or more of the elements described can certainly be combined into a single functional element. Alternatively, certain elements can be divided into several functional elements. Elements of one embodiment may be added to another embodiment. For example, the orders of the processes described herein may be changed and are not limited to the manner described herein. Additionally, the actions of a flowchart do not have to be implemented in the order shown; Not all actions necessarily have to be carried out. Even those actions that are not dependent on other actions can be carried out in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples. Numerous variations, whether explicitly stated in the specification or not, such as: B. Differences in structure, dimensions and material use are possible. The scope of the embodiments is at least as broad as indicated by the following claims.

Advantages, other benefits, and solutions to problems have been described above with respect to specific embodiments. However, the advantages, benefits, solutions to problems and any components that may cause a benefit, advantage or solution to occur or become more pronounced should not be construed as a critical, necessary or essential function or component of any or all of the claims.

CREDENTIALS

100

A system for estimating multimodal travel times of inner-city public transport.

102

Variety of input devices

102a

camera

102b

Global positioning system

102c

User interface unit

102d

Database

104

Central unit

106

User device_

108

Communication unit

Claims (8)

A system (100) for estimating multimodal travel times of inner-city public transport, the system (100) comprising the following: a plurality of input devices (102) for capturing a plurality of details of a selected public transportation vehicle as input to create a data set; a central processing unit (CPU) (104) connected to the input device (102) for processing the collected input data to obtain multimodal travel time, real-time location and occupancy of the selected public transport when calculating the distance between a starting point and a Endpoint of the selected public transport based on the variety of input details; and a user device (106), connected to the CPU (104) via a communication unit (108), for displaying the calculated multimodal travel time, the real-time location and the occupancy of the passenger in the selected public transport. System after Claim 1 , wherein the plurality of input devices (102) include: a camera (102a) for capturing the image of passenger occupancy in the vehicle; and a global positioning system (102b) for measuring the real-time location of the vehicle. System after Claim 2 , wherein the central processing unit (CPU) (104) processes the image captured by the camera to obtain occupancy data of the passenger in the vehicle and processes the real-time location of the vehicle to estimate the multimodal travel time. System after Claim 1 , wherein a user interface unit (102c) is connected to the input device (102) for entering details of the vehicle, a route map that the vehicle follows, start and stop points, and the number of stops between start and stop points. System after Claim 4 , wherein the user interface unit (102c) includes a display and a keyboard for providing the user's input details. System after Claim 1 , where the variety of details includes a real-time location of the vehicle, the vehicle's license plate number, start and stop points of the vehicle, how long a vehicle waits at each stop, and traffic and occupancy details of the vehicle. System after Claim 1 , wherein a database (102d) is connected to the plurality of input devices (102) for storing the plurality of details of the created data set. System after Claim 1 , wherein the communication unit (108) is either a wired or a wireless medium for establishing communication between the central processing unit (104) and the user device (106).

Images