Traffic monitoring using digital sound field mapping

Chen, Shiping; Sun, Ziping; Bridge, B.

doi:10.1109/25.966587

Cited by 33 publications

(7 citation statements)

References 3 publications

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“…Vehicular speed estimation begins with theoretical description of speed estimation using Doppler frequency shift (Quinn, 1996;Couvreur and Bresler, 1997). Followed by techniques based on passive sound detection and corresponding use of correlation algorithms to extract key data Chen et al, 2001). Then techniques based on maximum likelihood principle (Valcarce et al, 2004), cross correlation method (Lo and Ferguson, 2000).…”

Section: Discussionmentioning

confidence: 99%

“…Then techniques based on maximum likelihood principle (Valcarce et al, 2004), cross correlation method (Lo and Ferguson, 2000). Acoustic (Chen et al, 2001) Correlation based algorithm Frequency (Succi et al, 1999) HLA NN (Wang and Qi, 2002) HLA, DWT, STFT, PCA k-NNS, MPP (Wellman et al, 1997) HLA, PSE NN (Li et al, 2002) PSE, AR Mod. k-NNS, MLE, SVM (Nooralahiyan and Kirby, 1998) AR Mod.…”

Section: Discussionmentioning

confidence: 99%

“…Extensive research work has been carried out for classification battlefield vehicles and few for urban. Where feature generation time domain (Sampan, 1997;Chen et al, 2001); frequency domain (Succi et al, 1999;Wang and Qi, 2002;Wellman et al, 1997;Li et al, 2002;Nooralahiyan and Kirby, 1998), timefrequency domain (Choe et al, 1996;Lopez et al, 1999;Wang and Qi, 2002) is carried out.…”

Section: Discussionmentioning

confidence: 99%

“…These techniques utilizes microphone array to detect the sound waves generated by road side vehicles and are capable of monitoring traffic conditions on lane-bylane and vehicle-by-vehicle basis in a multilane carriageway. Correlation based algorithm are used Chen et al, 2001), which extracts key data reflecting the road traffic conditions, e.g. the speed and density of vehicles.…”

Section: Acoustic Signal Based Approaches: Vehicular Speed and Densitmentioning

confidence: 99%

“…the speed and density of vehicles. Chen et al (2001) develops multilane traffic sensing concept based passive sound which is digitized and processed by an on-site computer using a correlation based algorithm. The system having low cost (installation, maintenance and operational), safe passive detection, immunity to adverse weather conditions, and competitive manufacturing cost.…”

Section: Acoustic Signal Based Approaches: Vehicular Speed and Densitmentioning

confidence: 99%

See 4 more Smart Citations

Review on Vehicular Speed, Density Estimation and Classification Using Acoustic Signal

Borkar¹,

Malik²

2013

IJTTE

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Traffic monitoring and parameters estimation from urban to non urban (battlefield environment) traffic is fast-emerging field based on acoustic signals. We present here a comprehensive review of the state-of-the-art acoustic signal for vehicular speed estimation, density estimation and classification, critical analysis and an outlook to future research directions. This field is of increasing relevance for intelligent transport systems (ITSs). In recent years video monitoring and surveillance systems has been widely used in traffic management and hence traffic parameters can be achieved using such systems, but installation, operational and maintenance cost associated with these approaches are relatively high compared to the use of acoustic signal which is having very low installation and maintenance cost. The classification process includes sensing unit, class definition, feature extraction, classifier application and system evaluation. The acoustic classification system is part of a multi sensor real time environment for traffic surveillance and monitoring. Classification accuracy achieved by various studied algorithms shows very good performance for the 'Heavy Weight' class of vehicles as compared to the other category "Light Weight". Also a slight performance degrades as vehicle speed increases. Vehicular speed estimation corresponds to average speed and traffic density measurement, and can be substantially used for traffic signal timings optimization.

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