Public bus arrival time prediction based on traffic information management system

Li, Feng; Yuan, Yu; Lin, HongBin; Min, Wanli

doi:10.1109/soli.2011.5986581

Cited by 25 publications

(13 citation statements)

References 6 publications

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“…The public bus transit system serves millions of bus riders every day covering most parts of Singapore [27]. It is commercially operated by two major transit companies, SBS Transit [6] and SMRT Corporation [15]. IC card systems are widely used for paying transit fees.…”

Section: A Experiments Methodologymentioning

confidence: 99%

Urban Traffic Monitoring with the Help of Bus Riders

Zhou

Jiang

2015

2015 IEEE 35th International Conference on Distributed Computing Systems

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Real-time urban traffic conditions are critical to wide populations in the city and serve the needs of many transportation dependent applications. This paper presents our experience of building a participatory urban traffic monitoring system that exploits the power of bus riders' mobile phones. The system takes lightweight sensor hints and collects minimum set of cellular data from the bus riders' mobile phones. Based on such a participatory sensing framework, the system turns buses into dummy probes, monitors their travel statuses, and derives the instant traffic map of the city. Unlike previous works that rely on intrusive detection or full cooperation from "probe vehicles", our approach resorts to the crowd-participation of ordinary bus riders, who are the information source providers and major consumers of the final traffic output. The experiment results demonstrate the feasibility of such an approach achieving finegrained traffic estimation with modest sensing and computation overhead at the crowd.

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Section: A Experiments Methodologymentioning

confidence: 99%

Urban Traffic Monitoring with the Help of Bus Riders

Zhou

Jiang

2015

2015 IEEE 35th International Conference on Distributed Computing Systems

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“…Public bus transit system serves millions of bus rides every day covering most parts of Singapore. The public bus transit system is supervised by Land Transport Authority (LTA) of Singapore and is commercially operated mainly by two major public transport providers, SBS Transit and SMRT Corporation [5,20]. Many other transit means coexist with the public bus system.…”

Section: Experimental Methodologymentioning

confidence: 99%

“…Our work is mostly related to recent works on the transit tracking systems [12,20,29]. EasyTracker [12] presents an automatic system for lowcost, real-time transit tracking, mapping and arrival time prediction using GPS traces collected by in-vehicle smartphones.…”

Section: Related Workmentioning

confidence: 99%

“…The accurate arrival time of next bus will allow travelers to take alternative transport choices instead, and thus mitigate their anxiety and improve their experience. Towards this aim, many commercial bus information providers offer the realtime bus arrival time to the public [20]. Providing such services, however, usually requires the cooperation of the bus operating companies (e.g., installing special location tracking devices on the buses), and incurs substantial cost.…”

Section: Introductionmentioning

confidence: 99%

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How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Participatory Sensing

2014

IEEE Trans. on Mobile Comput.

122

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The bus arrival time is primary information to most city transport travelers. Excessively long waiting time at bus stops often discourages the travelers and makes them reluctant to take buses. In this paper, we present a bus arrival time prediction system based on bus passengers' participatory sensing. With commodity mobile phones, the bus passengers' surrounding environmental context is effectively collected and utilized to estimate the bus traveling routes and predict bus arrival time at various bus stops. The proposed system solely relies on the collaborative effort of the participating users and is independent from the bus operating companies, so it can be easily adopted to support universal bus service systems without requesting support from particular bus operating companies. Instead of referring to GPS enabled location information, we resort to more generally available and energy efficient sensing resources, including cell tower signals, movement statuses, audio recordings, etc., which bring less burden to the participatory party and encourage their participation. We develop a prototype system with different types of Android based mobile phones and comprehensively experiment over a 7 week period. The evaluation results suggest that the proposed system achieves outstanding prediction accuracy compared with those bus company initiated and GPS supported solutions. At the same time, the proposed solution is more generally available and energy friendly.

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“…Towards this aim, many commercial bus information providers offer the real-time bus arrival time to the public. Providing such services, however, usually requires the cooperation of the bus operating companies (e.g., installing special location tracking devices on the buses), and incurs substantial cost (F. Li Y. et al, 2011;Pengfei et al, 2012;Dihua et al, 2007). Many research on implementing tracking systems based on android applications (Manav and Anupam, 2012; Ruchika and BVR, 2011), but most of them concentrated on tracking system not fully management transportation system and estimate arrival time predilection espials in countries complicated in traffic as Egypt.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Transportation Management System

Ashour¹,

Zorkany²,

Shiple³

2015

Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems

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This paper proposes an effective method of transportation management system. This proposed system is designed to interconnect public transport vehicles and bus stations to "Central Room" to monitor the vehicles & traffic status. Based on the collected data and via analyzing road condition, estimated arrival times are computed and transmitted to all relevant stations. The main structure of proposed system consists of Bus unit, station unit and main control centre with servers. Bus and station unit can be hardware unit or mobile android unit. Monitoring Busses based on GPS and GPRS applications. The data transferred between Bus units, station units and the main servers are managed via GPRS/UMTS link. At the server (Central Room) and based on the collected data from buses and via analyzing road condition, accurate arrival times will be computed (Via Neural network (NN) / Kalman Filter (KF)) and transmitted to all relevant stations. In this paper, we proposed a modified technique to predict bus arrival time depending on the two algorithms (NN & KF) simultaneously to take advantage of historical data (NN) with current data (KF). Achieving these main features will cause major improvements in public transport convenience and safety. Field tests were performed under real traffic situations in order to test the system.

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Public bus arrival time prediction based on traffic information management system

Cited by 25 publications

References 6 publications

Urban Traffic Monitoring with the Help of Bus Riders

Urban Traffic Monitoring with the Help of Bus Riders

How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Participatory Sensing

Design and Implementation of Transportation Management System

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