Development of Dual-Station Automated Expressway Incident Detection Algorithms

Most automated expressway incident detection algorithms were successfully developed using loop-based traffic occupancy from their local conditions. However, the performance of these algorithms was not satisfactory on sites that have installed a video-based detector system. Due to different traffic detector technologies and varying driving behaviors from one region to another, it is of interest to develop an algorithm that uses video-based data. This paper used a total of 160 incidents collected along the 15-km central expressway (CTE) in Singapore to develop two new dual-station algorithms: the combined detector evaluation (CODE) and the flow-based CODE algorithms. On average, the flow-based CODE algorithm yielded better performance than the CODE in terms of average reduced false alarms of about 16%. Measures were also taken to ensure that the algorithms were properly developed and assessed. It was found that the CODE algorithm can detect, on average, up to 57% of the incidents faster than those of existing detection methods on CTE.

[1]  Samir A. Ahmed,et al.  APPLICATION OF TIME-SERIES ANALYSIS TECHNIQUES TO FREEWAY INCIDENT DETECTION , 1982 .

[2]  Carroll J Messer,et al.  Incident detection on urban freeways , 1974 .

[3]  Daniel B. Fambro,et al.  EVALUATION OF AN ALGORITHM FOR DETECTING URBAN FREEWAY INCIDENTS DURING LOW-VOLUME CONDITIONS , 1980 .

[4]  I. Motivation,et al.  Dynamic Model-Based Techniques for the Detection of Incidents on Freeways , 1980 .

[5]  Yorgos J. Stephanedes,et al.  SMOOTHING ALGORITHMS FOR INCIDENT DETECTION , 1993 .

[6]  Yi Qi,et al.  Application of wavelet technique to freeway incident detection , 2003 .

[7]  Dipti Srinivasan,et al.  DEVELOPMENT AND ADAPTATION OF CONSTRUCTIVE PROBABILISTIC NEURAL NETWORK IN FREEWAY INCIDENT DETECTION , 2002 .

[8]  John D. Leonard,et al.  Vehicle Detection Using Video Image Processing System: Evaluation of PEEK VideoTrak , 2003 .

[9]  Yi Qi,et al.  Detection-delay-based freeway incident detection algorithms , 2003 .

[10]  Moshe Levin,et al.  INCIDENT DETECTION: A BAYESIAN APPROACH , 1978 .

[11]  Henry S. L. Fan,et al.  Transferability of Expressway Incident Detection Algorithms to Singapore and Melbourne , 2005 .

[12]  Panos G Michalopoulos,et al.  COSTS AND BENEFITS OF VISION-BASED, WIDE-AREA DETECTION IN FREEWAY APPLICATIONS , 1995 .

[13]  Yorgos J. Stephanedes,et al.  Transferability of Freeway Incident Detection Algorithms , 1996 .

[14]  R. Cheu,et al.  Sampling Strategies for Probe-Vehicle-Based Freeway Incident Detection Algorithms , 2004 .

[15]  Hussein Dia,et al.  Development and evaluation of neural network freeway incident detection models using field data , 1997 .

[16]  Sherif Ishak,et al.  Performance of Automatic ANN-Based Incident Detection on Freeways , 1999 .

[17]  A. R. Cook,et al.  DETECTION OF FREEWAY CAPACITY-REDUCING INCIDENTS BY TRAFFIC-STREAM MEASUREMENTS , 1974 .

[18]  Der-Horng Lee,et al.  Mobile Sensor and Sample-Based Algorithm for Freeway Incident Detection , 2002 .

[19]  Sarah Redshaw.  Young people's ideas on speed , 2004 .

[20]  Hojjat Adeli,et al.  FUZZY-WAVELET RBFNN MODEL FOR FREEWAY INCIDENT DETECTION , 2000 .

[21]  Baher Abdulhai,et al.  Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural network , 1999 .

[22]  Ruey Long Cheu,et al.  Automated detection of lane-blocking freeway incidents using artificial neural networks , 1995 .

[23]  P K Houpt,et al.  Dynamic model-based techniques for the detection of incidents on freeways , 1980 .

[24]  Asim Karim,et al.  INCIDENT DETECTION ALGORITHM USING WAVELET ENERGY REPRESENTATION OF TRAFFIC PATTERNS , 2002 .

[25]  Hojjat Adeli,et al.  Comparison of fuzzy-wavelet radial basis function neural network freeway incident detection model with California algorithm , 2002 .

[26]  H S Fan,et al.  Analysis of incidents on Singapore's central expressway , 2003 .

[27]  Baher Abdulhai,et al.  A neuro-genetic-based universally transferable freeway incident detection framework , 1996 .

[28]  Asim Karim,et al.  Fast Automatic Incident Detection on Urban and Rural Freeways Using Wavelet Energy Algorithm , 2003 .

[29]  Asdrubal Garcia-Ortiz,et al.  Traffic incident detection: Sensors and algorithms , 1998 .

[30]  J A Martin,et al.  AUTOMATIC INCIDENT DETECTION - TRRL ALGORITHMS HIOCC AND PATREG , 1979 .

[31]  Michael J. Cassidy,et al.  Application of Fuzzy Logic and Neural Networks to Automatically Detect Freeway Traffic Incidents , 1994 .

[32]  Fang Yuan,et al.  INCIDENT DETECTION USING SUPPORT VECTOR MACHINES , 2003 .

[33]  Yong Shi,et al.  ON-LINE TESTING OF THE MCMASTER INCIDENT DETECTION ALGORITHM UNDER RECURRENT CONGESTION , 1993 .