Real-Time Urban Traffic State Estimation with A-GPS Mobile Phones as Probes

Tao, Shiquan; Manolopoulos, Vasileios; Rodriguez, Saul; Rusu, Ana

doi:10.4236/jtts.2012.21003

Cited by 88 publications

(48 citation statements)

References 23 publications

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“…Despite many studies having considered the traffic-state estimation problem, there is no general agreement about a formal definition for a "traffic state." Some research estimates the traffic state in terms of vehicular speed [26,27], and this kind of estimation characterizes states, i.e., quantized speeds, as "free" or "congested" [28]. Yoon et al [4] proposed two feature values based on vehicular speed for detecting "bad" traffic states, i.e., slow traffic.…”

Section: Related Workmentioning

confidence: 99%

Real-time traffic incident detection using a probabilistic topic model

Kinoshita

Takasu

Adachi

2015

Information Systems

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a b s t r a c tTraffic congestion occurs frequently in urban settings, and is not always caused by traffic incidents. In this paper, we propose a simple method for detecting traffic incidents from probe-car data by identifying unusual events that distinguish incidents from spontaneous congestion. First, we introduce a traffic state model based on a probabilistic topic model to describe the traffic states for a variety of roads. Formulas for estimating the model parameters are derived, so that the model of usual traffic can be learned using an expectation-maximization algorithm. Next, we propose several divergence functions to evaluate differences between the current and usual traffic states and streaming algorithms that detect high-divergence segments in real time. We conducted an experiment with data collected for the entire Shuto Expressway system in Tokyo during 2010 and 2011. The results showed that our method discriminates successfully between anomalous car trajectories and the more usual, slowly moving traffic patterns.

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Section: Related Workmentioning

confidence: 99%

Real-time traffic incident detection using a probabilistic topic model

Kinoshita

Takasu

Adachi

2015

Information Systems

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“…Based on mobile positioning, much research has been done on the road and urban traffic estimation [4] [5] [6], trajectory pattern mining [7] [8] and origination-destination (O-D) Analysis [9] [10], pushing and cultivating the ITS [11], LBS [12] and other unpredictable services and applications [13]. However, few work was done on estimating the regional snapshot population and average residence time within a IEEE/CIC ICCC 2014 Symposium on Social Networks and Big Data 978-1-4799-4146-9/14/$31.00 ©2014 IEEE closed area.…”

Section: Related Workmentioning

confidence: 99%

Monitoring system of urban population traffic based on mobile network signaling

Luo

Shu

Zhou

2014

2014 IEEE/CIC International Conference on Communications in China (ICCC)

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Online monitoring of population traffic within a certain region plays a significant role in modern city administration and public security, and it is also a difficult task to fulfil using traditional methods. In this paper, a system is reported, which has realized fast estimation of snapshot population and residence time distribution within a certain region, based on mobile network signaling. The system architecture is presented and some key implementation issues are addressed. As examples, results in two typical regions are demonstrated and thoroughly compared. One is a historical attraction, and the other is a traffic junction in the central business area. The system has currently come into operation in Beijing and begun serving several municipal departments including tourism, administration and public security.

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“…MONITORING TRAFFIC FLOWS FROM GPS SIGNALS As known, traffic flows may be measured by monitoring the car flows using pneumatic tubes or magnetic loops [4], traffic videos [5] even in environments with little luminosity [6] or affected by noisy conditions [7], from traffic policemen perceptions [8], and with the GPS Signals from the mobile of the users [9]. This section points out how an Arduino System provided with a GPS shield may be used for driver tracking with a method that is simpler than the ones proposed in literature, e.g., [9], but fast enough to allow the server to calculate the travel time for each road section in real time. This architecture is shown in fig.5.…”

Section: Urban Road Graph and User Interfacementioning

confidence: 99%

An arduino based system provided with GPS/GPRS shield for real time monitoring of traffic flows

Costanzo

2013

2013 7th International Conference on Application of Information and Communication Technologies

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In the past, few Public Administrations provided traffic monitoring services in real time due to the high cost of the car traffic monitoring system. The paper aims at proposing a low cost system based on the GPS signals coming from Arduino based systems to collect the traffic measurements needed to compute colored traffic map and the minimum path to the destination depending on the current position. The comparison carried between the performance of the proposed system and the one based on GPS signals coming from the user mobiles points out a higher accuracy of Arduino based tracking system. Also the system may send the user data to the main information center as anonymous messages thus satisfying the privacy requirements needed for a wide activation of such a monitoring methodology.

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Real-Time Urban Traffic State Estimation with A-GPS Mobile Phones as Probes

Cited by 88 publications

References 23 publications

Real-time traffic incident detection using a probabilistic topic model

Real-time traffic incident detection using a probabilistic topic model

Monitoring system of urban population traffic based on mobile network signaling

An arduino based system provided with GPS/GPRS shield for real time monitoring of traffic flows

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