Analysis of estimated busses arrival time on public transportation using real-time monitoring

Implementation of Passenger Information and Monitoring Systems in Trans Semarang Bus and Assessment of the Community Perception

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.d9086.029420 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1129-1135

Keyword(s):

Real Time ◽

Public Transportation ◽

Arrival Time ◽

Geographical Location ◽

Community Perception ◽

Wireless System ◽

Transportation Services ◽

In Trans ◽

Bus Stops ◽

Time Of Travel

One of the methods to raise public interest in Trans Semarang buses is by providing real-time departure and arrival information. Therefore, it is necessary to improve public transportation services using the Monitoring System installed in the Semarang City Transportation Office as well as the Passenger Information System at 5 bus stops of Kesatrian, Elizabeth, UNDIP, UNIKA, and UNNES. This system, however, requires the Automatic Vehicle Location, GPS, and transmission bus's geographical location are determined and sent to the server via the satellite while the tracking info is sent using a wireless system via GSM. The system was designed to display bus location and speed information to estimate arrival time to passengers in real-time to ensure an accurate time of travel is shown on their android mobile phones and monitors at bus stops as well as the Transportation Office. The results obtained from the survey conducted showed 99.2% of 130 respondents were pleased with the implementation of the system.

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Optimal Planning of Real-Time Bus Information System for User-Switching Behavior

Electronics ◽

10.3390/electronics9111903 ◽

2020 ◽

Vol 9 (11) ◽

pp. 1903

Author(s):

Zoonky Lee ◽

Sewoong Hwang ◽

Jonghyuk Kim

Keyword(s):

Real Time ◽

Public Transportation ◽

Traffic Congestion ◽

Arrival Time ◽

Switching Behavior ◽

Traffic Information ◽

Smart Transportation ◽

Real Time Traffic ◽

Policy Measures ◽

Use Behavior

Seoul Metropolitan City’s buses cater to more than 50% of the average daily public transportation use, and they are the most important transportation mode in Korea, together with the subway. Since 2004, all public transportation records of passengers have been stored in Seoul, using smart transportation cards. This study explores the environmental and psychological factors in implementing a smart transportation system. We analyze the switching behavior of traffic users according to traffic congestion time and number of transfers based on public transportation data and show that bus-use behavior differs according to the traffic information of users and the degree of traffic congestion. Information-based switching behavior of people living near bus stops induces people to change routes during traffic congestion. However, in non-congested situations, the original routes are used. These results can guide the formulation of policy measures on bus routes. We made it possible to continuously change the routes for certain buses, which were temporarily implemented due to traffic congestion. Moreover, we added a service that posts the estimated arrival time to major stops while reflecting real-time traffic conditions in addition to the bus location and arrival time information through the global positioning system.

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The Prediction of Bus Speed Based on Kalman Filter

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.962-965.2818 ◽

2014 ◽

Vol 962-965 ◽

pp. 2818-2822 ◽

Cited By ~ 2

Author(s):

Ying Zhu ◽

Dong Zhang ◽

Jia Wei Zhang

Keyword(s):

Kalman Filter ◽

Real Time ◽

Public Transportation ◽

Traffic Congestion ◽

Arrival Time ◽

Mathematical Structure ◽

Linear Filter ◽

Recursive Solution ◽

Proposed Model ◽

Bus Service

To solve the problem of traffic congestion, many cities have adopted a series of measures to develop public transportation. The bus speed is an important factor to measure the level of bus service, and it helps to determine the arrival time of bus, which can reduce the passengers’ anxiety and waiting time at bus stops. Kalman filter, whose mathematical structure is relatively simple, is a recursive solution to the discrete-data linear filter problem. It has the strengths of little calculation amount, low storage amount, high real-time characteristics. Therefore, this paper develops a prediction model of bus speed based on Kalman filter, gives a specific program to predict speed and verifies the model according to the real-time GPS measurements of No.84150 in Beijing on each Friday in March, 2013.The result shows that the proposed model has high accuracy and can be applied to the prediction of bus speed.

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