Volume 2 - Issue 2 - 2016


Assess Cohessionless Soil Behavior under Drained Lateral Extension from Drained Axial Shear Test

Horng-Jyh Yang

Abstract
The soil strength parameters (cohesion and friction angle) applied in the active aspect of retaining structure design or deep excavation analysis are based on the results obtained from the traditional drained or undrained axial compression triaxial shear test. However, the axial compression test does not represent the real soil lateral extension behavior for which such parameters are sought and also the volume change behavior under drained condition. This paper has presented a successful process to predict the lateral extension behavior from a series of traditional axial compression shear tests under multi-confining pressures. A modified version of Hooke's law is employed herein to predict the drained lateral extension behavior from a series of drained axial compression test results associated with an isotropic rebound volumetric change. The detail of the modified Hooke's law applied in this research has well presented to support the theoretical transfer process. The logical idea for the prediction of the drained lateral extension strength from the traditional drained axial compression test can be illustrated through the development of stress paths that the stress path of a drained lateral extension test can be intersected by many other stress paths of the drained axial compression tests in multi-combination of effective confining pressures. The drained lateral extension test behavior of deviatoric stress and volumetric strain versus axial strain curves which are achieved from multi-tests applying in Nevada sand. The fundamental behavior of interest in both the drained lateral extension and the drained axial compression tests is the stress-strain-strength behavior and the volume change. The test results from the drained lateral extension tests are successfully evaluated from a series of drained axial compression tests response coupled with the sand's associated drained isotropic rebound behavior.
Keywords: lateral extension test, axial compression test, triaxial shear test, stress path, Hook's law

References

Journal of Geotechnical and Transportation Engineering - 2016 vol. 2 (2)

[1] M. Ashour and G.M. Norris, "Formulation of Undrained Behavior of Saturated Sand from Drained Rebounded Response," Geotechnical Special Publications. Geotechnical Earthquake Engineering and Soil Dynamics III, Seattle, Washington, ASCE, Vol.1, No.75, pp. 361-372, 1998.
[2] T. Nguyen, "Sand Behavior from Anisotropic and Isotropic Static and Dynamic Triaxial Tests." Ph.D. dissertation, University of Nevada, Reno, 341 pp., 2002.
[3] G. Norris, "The Drained Shear strength of Uniform Quartz Sand as Related to Particle size and natural Variation in Particle Shape and Surface Roughness," Ph.D. dissertation, University of California, Berkeley, 523 pp., 1977.
[4] G. Norris, S. Elfass and H-J Yang, "Internal friction as a function of surface roughness", 43rd Symposium on Engineering Geology and Geotechnical Engineering (EGGE), Las Vegas, Nevada, 2011.
[5] G. Norris, R. Madhu, M. Ashour, and R. Valceschini, "Peak Undrained Resistance of Loose Sands," Transportation Research Record, Transportation Research Board 1569, pp. 65-76, 1997.
[6] G. Norris, H-J. Yang and S. Elfass, "Stress-Strain-Strength (including Volume Change) of Soil", 44th Symposium on Engineering Geology and Geotechnical Engineering (EGGE), Reno, Nevada, 2012.
[7] J. Palmer, "Undrained Lateral Compression Response from Drained Lateral Compression Test," Ph.D. dissertation, University of Nevada, Reno, 440 pp, 1997.
[8] K. Ulamis and H-J Yang, "Soil permeability related to liquefaction potential under anisotropic cyclic triaxial test", 43rd Symposium on Engineering Geology and Geotechnical Engineering (EGGE), Las Vegas, Nevada, 2011.
[9] K. Ulamis, H-J Yang and G. Norris, "Axial Strain Related to Liquefaction under Anisotropic Loading Condition", Journal of Telif Hakki Devir Formu, v.36 (2), pp. 115-123, 2013.
[10] H-J. Yang, "Extension/Compression Test Stress-Strain- Volume Change Characterization under Drained Condition," Ph.D. dissertation, University of Nevada, Reno, 384 pp, 2005.
[11] H-J. Yang, S. Elfass, and G. Norris, "Prediction of Drained Lateral Extension Behavior from Traditional Drained Axial Compression Triaxial Test", 14th ICE & 42nd EGGES Conference, Idaho State University, Pocatello, ID, pp. 157-164, 2009.
[12] H-J. Yang, G. Norris and S. Elfass, "The Characteristic (or Phase Transformation) Friction Angle", 44th Symposium on Engineering Geology and Geotechnical Engineering (EGGE), Reno, Nevada, 2012.

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Headway Distributions in Urban Highways under Heavy Traffic Conditions

Sara Moridpour, Mozhgan Aliakbari

Abstract
influences the capacity and safety of highways and freeways. Headways are extensively used in different areas of traffic and transport engineering such as capacity analysis, car following and lane changing modelling, safety studies, and level of service evaluation. In this paper, the time headway distribution is investigated for an urban highway, at different flow rates during heavy traffic conditions. To better evaluate the headway characteristics, the time headways are separately evaluated for different car following combinations including passenger car following a passenger car, passenger car following a heavy vehicle, heavy vehicle following a passenger car and heavy vehicle following a heavy vehicle. Appropriate models of headway distribution are selected using Chi-Square test. Using the selected models, headway distributions are predicted for each vehicle combination at different traffic flow rates. The trajectory data used in this study was provided for a highway section in California: Berkeley Highway, I-80. For the time intervals presented in the data, the traffic flow condition for each site reflects Level Of Service (LOS) E which is considered as heavy traffic conditions. The results confirm existence of different time headway distributions for heavy vehicles and passenger cars. This is due to the existence of limitations in performance (e.g. acceleration/deceleration) of heavy vehicles as well as the difference in the behaviour of drivers in vicinity of heavy vehicles and passenger cars under heavy traffic conditions.
Keywords: Headway, Distribution, Highways, Heavy vehicles, Passenger cars

References

Journal of Geotechnical and Transportation Engineering - 2016 vol. 2 (2)

[1] Highway Capacity Manual. Transportation Research Board, National Research Council. Washington, U.S.A. 2010.
[2] P. G. Michael, F. C. Leeming and W. O. Dwyer. "Headway on urban streets: observational data and an intervention to decrease tailgating". Trans. Res. F, vol. 3, pp. 55-64. 2000.
[3] A. Al-Ghamdi. "Analysis of time headways on urban roads: case study from Riyadh". J. of Trans. Eng., vol. 127, pp.289-294. 2001.
[4] M. Brackstone, B. Waterson and M. McDonald. "Determinants of following headway in congested traffic". Trans. Res. F, vol. 2, pp. 131-142. 2009.
[5] C. Yusheng, W. Lina, P. Yulong and L. Xianzhang. "Gap acceptance capacity model for on-ramp junction of urban freeway". J. of Trans. Sys. Eng. and Info. Tech., vol.9, pp.116- 119. 2009.
[6] S. Moridpour, G. Rose and M. Sarvi. "Effect of surrounding traffic characteristics on lane changing behavior". J. of Trans. Eng, vol.136, pp.973-985. 2010.
[7] S. Moridpour, M. Sarvi and G. Rose. "Modeling the lane changing execution of multi class vehicles under heavy traffic conditions". Trans. Res. Rec., J. of the Trans. Res. Board, vol.2161, pp.11-19. 2010.
[8] S. M. Abtahi, M. Tamannaei and H. Haghshenash. "Analysis and modeling time headway distributions under heavy traffic flow conditions in the urban highways: case of Isfahan". Transport, vol.26, pp.375-382. 2011.
[9] K. Aghabayk, M. Sarvi and W. Young. "Understanding the dynamics of heavy vehicle interactions in car-following". J. of Trans. Eng., vol.138, pp.1468-1475. 2010.
[10] S. K. Dubey, B. Ponnu and S. S. Arkatkar. "Time gap modeling under mixed traffic condition: a statistical analysis". J. of Trans. Sys. Eng. and Info. Tech., vol.12, pp.72-84. 2012.
[11] O. Hagring. "Estimation of parameters in distribution of headways in roundabouts". J. of Trans. Eng., vol.128, pp.403-411. 2002.
[12] H. T. Zwahlen, E. Oner and K. Suravaram. "Approximated headway distributions of free-flowing traffic on Ohio freeways for work zone traffic simulations". Trans. Res. Rec., J. of the Trans. Res. Board, vol.1999, pp.131-140. 2007.
[13] P. Dey and S. Chandra. "Desired time gap and time headway in steady-state car-following on two-lane roads. J. of Trans. Eng., vol.135, pp.687-693. 2009.
[14] M. Jakimavičius and M. Burinskienė. "A GIS and multicriteria- based analysis and ranking of transportation zones of Vilnius city". Technological and Economic Development of Economy, vol.15, pp.39-48. 2009.
[15] B. S. Kerner. "Introduction to modern traffic flow theory and control: the long road to three-phase traffic theory", 1st edition, ISBN: 978-3-642-02604-1. 2009.
[16] B. Mesarec and M. Lep. "Combining the grid-based spatial planning and network-based transport planning". Technological and Economic Development of Economy, vol.15, pp.60-77. 2009.
[17] S. Moridpour, M. Sarvi, G. Rose and E. Mazloumi. "Lanechanging decision model for heavy vehicle drivers". J. of Int. Trans. Sys.: Tech., Planning, and Operations, vol.16, pp.24-35. 2012.
[18] W. K. M. Alhajyaseen, M. Asano and H. Nakamura. "Leftturn gap acceptance models considering pedestrian movement characteristics". Accident Analysis and Prevention, vol.5, pp.175- 185. 2013.
[19] S. Moridpour, E. Mazloumi and M. Mesbah. "Impact of heavy vehicles on surrounding traffic characteristics". J. of Advanced Trans., vol.49, pp.535-552. 2015.
[20] T. V. Arasan and R. Z. Koshy. "Headway distribution of heterogeneous traffic on urban arterials". J. of the Ins. of Eng., vol.84, pp.210-215. 2003.
[21] K. Vogel. "A comparison of headway and time to collision as safety indicators". Accident Analysis and Prevention, vol.35, pp.427-33. 2003.
[22] S. Moridpour, E. Mazloumi, M. Sarvi and G. Rose. "Enhanced evaluation of heavy vehicle lane restriction strategies in microscopic traffic simulation". J. of Trans. Eng., vol.138, pp.1-7. 2012.
[23] G. Zhang, Y. Wang, H. Wei and Y. Chen. "Examining headway distribution models with urban freeway loop event data". Trans. Res. Rec., J. of the Trans. Res. Board, vol.1999, pp.141-149. 2007.
[24] P. Yi, Y. Zhang, J. Lu and H. Lu. "Safety-based capacity analysis for Chinese highways - a preliminary study". IATSS Res., vol.28, pp.47-55. 2004.
[25] S. P. Hoogendoom and P. H. L. Bovy. "Estimation and analysis of multilane multiclass headway distribution models". Trans. Res. Rec., J. of the Trans. Res. Board, vol.1646, pp.18-28. 1998.
[26] M. Mei and A. G. R. Bullen. "Lognormal distribution for high traffic flows". Trans. Res. Rec., J. of the Trans. Res. Board, vol.1398, pp.125-128. 1993.
[27] S. Sadeghhosseini. "Time headway and platooning characteristics of vehicles on interstate highways", PhD. Dissertation, University of Illinois. 2002.
[28] G. H. Bham and S. R. P. Ancha. "Statistical models for preferred time headway and time headway of drivers in steady state car-following". App. of Advanced Tech. in Trans.: Proceedings of the Ninth International Conference, 13-16 August, Chicago, Illinois, USA, 344-349. 2006.
[29] S. Yin, Z. Li, Y. Zhang, D. Yao, Y. Su and L. Li. "Headway distribution modeling with regard to traffic status". Intelligent Veh. Sym., IEEE, 3-5 June, 1057-1062. 2009.
[30] Cambridge Systematics. NGSIM I-80 Data Analysis. Summary Reports, Federal HighWay Administration (FHWA). https://camsys.com/. 2005.
[31] C. Thiemann, M. Treiber and A. Kesting. "Estimating accelerationand lane-changing dynamics from Next Generation Simulation trajectory data". Trans. Res. Rec., J. of the Trans. Res. Board, vol.2088, pp.90-101. 2008.
[32] I. Grenberg. "The log-normal distribution of headways". Australian Road Res., vol.2, pp.14-18. 1966.

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A Model of Driver Behavior in Response to Road Roughness: A Case Study of Yazd Arterials

Nemat Soltani, Amir Reza Mamdoohi

Abstract
The impact of pavement distresses on the comfort of road users has been extensively studied so far, while little attention has been paid to investigating their effect on road safety. Some types of distresses, such as the polished aggregates of road pavements, influence vehicle stopping distance. Some other types of distresses influence the behavior of drivers due to the roughness they create on the road surface. In this study, a model of driver behavior in response to road roughness is calibrated which takes into account the geometric aspects of distresses, traffic parameters and road specifications. The behavior of drivers in response to road roughness is categorized into the two states of non-reaction and reaction (which includes either braking and crossing over distresses or deviating from the path) and is analyzed using logit model. The data which were collected through personal on-site observation in Yazd city pertain to the following variables; distress location, distress area, distress length, distress width, distress type, distance from lining, average hourly traffic, the average speed of vehicles, and the number of distresses within 100 meters. These data were collected from 15 randomly-selected distress areas with arterial functionality for 450 vehicles passing them. Based on the model results, a number of factors were found to increase the likelihood of drivers' reactions when facing distress areas. These factors include distress area, distress in fast lanes, and the reduction of average hourly traffic.
Keywords: driver behavior, logit model, pavement distress, road roughness.

References

Journal of Geotechnical and Transportation Engineering - 2016 vol. 2 (2)

[1] Road Maintenance and Transportation Organization (RMTO), "RMTO-Statistical yearbook, 2014," Ministry of Road and Urban Development, Iran, 2014.
[2] European Commission, "Road safety in the European Union: Trends, statistics, and main challenges," march 2015.
[3] S. Anjana, and M. Anjaneyulu, "Safety analysis of urban signalized intersections under mixed traffic," Journal of safety research, vol. 52, pp. 9-14, 2015.
[4] J. Lee, B. Nam, and M. Abdel-Aty, "Effects of pavement surface conditions on traffic crash severity," Journal of Transportation Engineering, 04015020, 2015.
[5] G. Yannis, A. Kondyli, and N. Mitzalis, "Effect of lighting on frequency and severity of road accidents," Proceedings of the Institution of Civil Engineers-Transport, vol. 166, pp. 271- 281, 2013.
[6] Z.D. Christoforou, M.G. Karlaftis, and G. Yannis, "Heavy vehicle age and road safety," Proceedings of the Institution of Civil Engineers-Transport, vol. 163, pp. 41-48, 2010.
[7] J.M.P. Mayora, and R.J. Piña, "An assessment of the skid resistance effect on traffic safety under wet-pavement conditions," Accident Analysis & Prevention, vol. 41, pp. 881-886, 2009.
[8] H. Lindenmann, "New findings regarding the significance of pavement skid resistance for road safety on swiss freeways," Journal of safety research, vol. 37, pp. 395-400, 2006.
[9] M.Y. Shahin, "Pavement management for airports, roads, and parking lots," 2nd ed, Springer New York, 2005.
[10] Y. Li, C. Liu, and L. Ding, "Impact of pavement conditions on crash severity," Accident Analysis & Prevention, vol. 59, pp. 399-406, 2013.
[11] X. Jiang, B. Huang, X. Yan, R.L. Zaretzki, and S. Richards, "Two-vehicle injury severity models based on integration of pavement management and traffic engineering factors," Traffic injury prevention, vol. 14, pp. 544-553, 2013.
[12] F. Bella, A. Calvi, and F. D'Amico, "Impact of pavement defects on motorcycles' road safety," Procedia-Social and Behavioral Sciences, vol. 53, pp. 942-951, 2012.
[13] P. Buddhavarapu, A. Banerjee, and J.A. Prozzi, "Influence of pavement condition on horizontal curve safety," Accident Analysis & Prevention, vol. 52, pp. 9-18, 2013.
[14] F. Bella, F. D Amico, and L. Ferranti, "Analysis of the effects of pavement defects on the safety of powered two wheelers," Proceedings of 5th International Conference Bituminous Mixtures and Pavements, 2011.
[15] P.C. Anastasopoulos, V.N. Shankar, J.E. Haddock, and F.L. Mannering, "A multivariate tobit analysis of highway accident-injury-severity rates," Accident Analysis & Prevention, vol. 45, pp. 110-119, 2012.
[16] B. Donmez, and Z. Liu, "Associations of distraction involvement and age with driver injury severities," Journal of safety research, vol. 52, pp. 23-28, 2015.
[17] R.O. Mujalli, and J. de Oña, "Injury severity models for motor vehicle accidents: A review," Proceedings of the Institution of Civil Engineers-Transport, vol. 166, no. 5, pp. 255-270, 2013.

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Investigation on the Swelling characteristics and unsaturated shear strength of expansive soils from Arba Minch in Ethiopia

Bantayehu Uba Uge

Abstract
In Ethiopia, many researches were done on characterizing expansive soils but only a very limited number of studies were conducted on Addis Ababa expansive soil, exists on the unsaturated shear strength behavior. The present study addresses examining expansive soils in Arba Minch - a town in the Rift Valley with great portion of its terrain covered by the same soil but not considered previously. Laboratory-testing program was planned and performed on undisturbed soil samples taken from 10 locations for swelling pressure testing; and among these, one pit was allotted for unsaturated shear strength study. The laboratory test results revealed swelling pressure ranges from 74.53 to 571.29 kPa, Plasticity Index from 49 to 77%, Shrinkage Index from 81 to 117% and Free Swell from 94.0 to 165.0%. The results from unsaturated shear strength tests performed with a 50kN modified double wall triaxial machine on an undisturbed sample setting matric suction 100 kPa, 150 kPa and 200kPa for an effective consolidation pressure of 200kPa have clearly indicated the saturated case to yield smaller shear strength than the unsaturated one. The maximum deviator stress showed to increase from 107.61kPa to 174.35kPa with an increase in matric suction but the shape of the stress-strain diagram remained identical.
Keywords: Unsaturated Shear Strength, Expansive Soil, Laboratory Testing, Swelling Behavior

References

Journal of Geotechnical and Transportation Engineering - 2016 vol. 2 (2)

[1] Abed, A. (2008). Numerical Modelling of Expansive Soil Behavior. Ph.D. Dissertation, Institut fur Geotechnik, Universitat Stuttgart, Germany.
[2] Alla P. (2009). Dynamic behavior of unsaturated soils. Msc. Thesis, Graduate Faculty of the Louisiana State University, U.S.A.
[3] Al-Rawas, A.A. and Goosen, M.F. (2006). Expansive soils: Recent advances in characterization and treatment. Taylor & Francis Group, London, UK.
[4] ASTM. (2004). Standard Test Method for soil and rock. Annual Book of ASTM Standards, Philadelphia, U.S.A.
[5] Ayteken, M. (1992). Finite Element Modeling of Lateral Swelling Pressure Distributions behind Earth Retaining Structures. Ph.D. Dissertation, Texas Tech University, U.S.A.
[6] Belachew, A (2000). Dry-spell analysis for studying the sustainability of rain-fed agriculture in Ethiopia: the case of the Arba Minch area. 8th Nile 2002 Conference, Addis Ababa, Ethiopia.
[7] Blight, G. E. (1997). Mechanics of Residual Soils. A.A Balkema, Rotterdam, Netherlands.
[8] British Standards Institution, (1990). British standard methods of test for soils for civil engineering purposes. British Standards Institution, London.
[9] Budhu, M. (2007). Soil Mechanics and Foundations.2nd ed., John Wiley & Sons Inc., New York.
[10] Chakraborty, S. (2009). Numerical Modeling for Long Term Performance of Soil-Bentonite Cut- Off Walls in Unsaturated Soil Zone. Msc. Thesis, Graduate Faculty of the Louisiana State University, U.S.A.
[11] Chen, F.H.(1988). Foundation on Expansive Soils. Elsevier scientific publishing company. Craig, R.F.(2004). Craig's Soil Mechanics. 7th ed., Spon Press, London and New York.
[12] CSA. (2007). The 2007 Population and Housing Census of Ethiopia: Statistical Report for Southern Nations, Nationalities and Peoples' Region; Part I: Population Size and Characteristics. http://www.csa.gov.et. 4/26/2011.
[13] Das, B. M. (2002). Principles of Geotechnical Engineering. 5th ed., Thomson Learning, U.S.A.
[14] Field, A. (2005). Discovering Statistics using SPSS. 2nd ed., SAGE publications, London.
[15] Forch, G. (2009). CICD Series Vol.3: Summary of Master Theses from Arba Minch University, Ethiopia. Printing Office, Universität Siegen, Germany.
[16] Fredlund, D.G. and Rahardjo, H.(1993). Soil Mechanics for Unsaturated Soils. John Wiley & Sons Inc. New York.
[17] Gebre, H. (2010). Unsaturated Shear Strength Characteristics and Stress Strain Behavior Of Expansive Soils of Addis Ababa. Msc. Thesis, Addis Ababa University, Addis Ababa, Ethiopia.
[18] Gebrehiwot, T. (2003). Ameliorated Design and Construction Techniques of Pavements on Expansive Soils. Msc. Thesis, Addis Ababa University, Addis Ababa, Ethiopia.
[19] Hilf, J.W. (1956). An Investigation of pore-water pressure in compacted cohesive soils. Ph.D. Dissertation, Texas Tech University, Texas.
[20] İkizler, S. B., Aytekin, M., and Nas, E. (2007). The Variation of Swelling Characteristics with EPS Geofoam in Expansive Soils. 18th European Young Geotechnical Engineers' Conference, Portonovo, Ancona, Italy.
[21] Kerry Rowe, R. (2001). Geotechnical and Geoenvironmental Engineering Hand Book. Kulwer Academic Publishers, USA.
[22] Komornik, J. and David, A.(1969). Prediction of swelling potential for compacted clays. Journal of the Soil Mechanics and Foundation Engineering Division, ASCE, Vol. 95, No. 1, 209-225.
[23] Legesse, M. (2004). Investigating Index Property of Expansive Soil of Ethiopia. Msc Thesis, Addis Ababa University, Addis Ababa, Ethiopia.
[24] Lu, N. and Likos, W.J. (2004). Unsaturated soil Mechanics. John Wiley & Sons Inc. New Jersey.
[25] Murray, H.H. (2007). Applied Clay Mineralogy: Occurrences, Processing and Application of Kaoines, Bentonites, Palygorskite-Sepiolite, and Common Clays. Elsevier scientific publishing company.
[26] Nayak, N.V. and Christensen, R.W.(1974). Swelling characteristics of compacted expansive soils. Clays and Clay Minerals, Vol. 19, No. 4, 251-261. Nelson, J.D. and Miller, D.J. (1992). Expansive Soils: Problems and Practice in Foundation and Pavement Engineering. New York: Wiley Interscience.
[27] Nigussie D. (2007). Indepth Investigation of Relationship between Index Property and Swelling Characteristics of Expansive soil in Bahir Dar. Msc. Thesis, Addis Ababa University, Addis Ababa, Ethiopia.
[28] Ng, C.W.W and Menzies, B. (2007). Advanced unsaturated soil Mechanics and Engineering. Taylor &Francis Group, London and New York.
[29] Sabtan, A. A., (2005). Geotechnical properties of expansive clay shale in Tabuk, Saudi Arabia. Journal of Asian Earth Sciences 25, 747 -757, Elsevier scientific publishing company.
[30] Sisay A. (2004). Assessment of Damage of Buildings constructed in Expansive soil areas of Addis Ababa. Msc Thesis, Addis Ababa University Technology Faculty, Addis Ababa, Ethiopia.
[31] Sime, A., (2006). Further Investigation of Road Failures Constructed on Expansive Soils of Central Ethiopia: Addis Ababa -Jimma Road as a case Study. Msc. Thesis, Addis Ababa University, Addis Ababa, Ethiopia.
[32] Stephen G. F., Donald A.C., and Paul F.W.(2005). The shrink Swell Test. Geotechnical Testing Journal, Vol. 28, No.1.
[33] Teferra, A. (2009). Principles of Foundation Engineering. 2nd ed. Addis Ababa University Press, Addis Ababa.
[34] Teferra, A. And Leikun, M. (1999). Soil Mechanics. Addis Ababa University press. Addis Ababa.
[35] Teklu, D. (2003). Examining the swelling pressure of Addis Ababa Expansive soil. Msc Thesis, Addis Ababa University Technology Faculty, Addis Ababa, Ethiopia.
[36] Terzaghi, K.(1943). Theoretical soil mechanics. Wiley Publications, New York.
[37] Tilahun, D. (2004). Influence of Drainage Condition on Shear Strength Parameters of Expansive soils. Msc Thesis, Addis Ababa University Technology Faculty, Addis Ababa, Ethiopia.
[38] Ulusay R. (2002). A simple test and predictive models for assessing swell potential of Ankara (Turkey) Clay. Elsevier scientific publishing company.
[39] Vijayavergiya, V.N. and Ghazzaly, O.I. (1973). Prediction of swelling potential for natural clays. Proceedings of 3rd International Conference on Expansive Soils, Haifa, Israel, Vol. 1, 227-236.
[40] W/Medhin G., (2010). A Study on Shear Strength Characteristics of Addis Ababa Red Clay Soil for Unsaturated Case. Msc Thesis, Addis Ababa University, Addis Ababa, Ethiopia.
[41] Zewdie, A. (2004). Investigation into shear strength characteristics of Expansive soil of Ethiopia. Msc Thesis, Addis Ababa University, Addis Ababa, Ethiopia.

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An Intelligent System for Automatic Detection of Traffic Rules Violation From Traffic Surveillance Camera Videos

M. A. Alavianmehr, A. R. Pakfetrat, Zohreh Karimian

Abstract
Checking traffic rule observation by vehicles play an important role in every day transportation handling either for intra- or intercity travels. Also, image processing plays a great role in modern intelligent transportation system (ITS). One of the most advance ways for traffic management and rules observation studies is employing live surveillance camera videos. In this paper, a new approach toward automatic detection of traffic rules violation based on image processing techniques is proposed. The proposed method applies innovative image processing techniques for live traffic surveillance target. Based on these techniques, the moving objects including cars and pedestrians are detected, tracked and observed. At first, some preprocessing steps employed for discrimination of foreground from background of surveillance video frames. For tracking purpose, a modified Munkres version of Hungarian algorithm is applied to Kalman filtering to provide tracking predictions for detected moving objects. The tracks of detected moving objects are analyzed and if any traffic rule violation takes place, they will be detected and reported automatically. The implementation results related to the proposed method demonstrates its high performance and applicability for real traffic rule violation detection.
Keywords: Asphalt Mixture, Performance, Cost Impact, Environmental

References

Journal of Geotechnical and Transportation Engineering - 2016 vol. 2 (2)

[1] S. Cheung, C. Kamath, Robust background subtraction with foreground validation for urban traffic video, EURASIP J. Appl. Signal Process. (2005).
[2] Y. Tian, A. Senior, M. Lu, Robust and efficient foreground analysis in complex surveillance videos, Mach. Vis. Appl. 23 (5) (2012) 967-983.
[3] A. Senior, Y. Tian, M. Lu, Interactive motion analysis for video surveillance and long term scene monitoring, in: Asian Conference on Computer Vision, ACCV 2010, Workshops, 2010, pp. 164-174.
[4] F. El Baf, T. Bouwmans, Comparison of background subtraction methods for a multimedia learning space, in: International Conference on Signal Processing and Multimedia, SIGMAP, July 2007.
[5] J. Carranza, C. Theobalt, M. Magnor, H. Seidel, Freeviewpoint video of human actors, ACM Trans. Graph. 22 (3) (2003) 569-577.
[6] S. Elhabian, K. El-Sayed, S. Ahmed, Moving object detection in spatial domain using background removal techniques -state-of-art, Recent Patents Comput. Sci. 1 (1) (2008) 32-54.
[7] M. Cristani, M. Farenzena, D. Bloisi, V. Murino, Background subtraction for automated multisensory surveillance: A comprehensive review, EURASIP J. Adv. Signal Process. (2010) 24.
[8] T. Bouwmans, F. El-Baf, B. Vachon, Statistical background modeling for foreground detection: A survey, in: Handbook of Pattern Recognition and Computer Vision, vol. 4(2), World Scientific Publishing, 2010, pp. 181-199.
[9] N. A. Mandellos, I. Keramitsoglou, C. T. Kiranoudis. A background subtraction algorithm for detecting and tracking vehicle, Expert Syst. Appl38 (2011)1619-1631.
[10] C. Wren, A. Azerbaijani, T. Darrell, A. Pent land, P finder: real-time tracking of the human body, IEEE Trans. Pattern Anal. Mach. Intell.19 (1997)780-785.
[11] M. A. Alavianmehr, A. Tashk, A. Sodagaran. Video Foreground Detection Based on Adaptive Mixture Gaussian Model for Video Surveillance Systems. 4th International Conference on Traffic and Transportation Engineering (ICTTE 2015), Madrid, Spain.
[12] A. Elgammal, R. Duraiswami, D. Harwood, L. Davis, Background and foreground model in using nonparametric kernel density for visual surveillance, Proc.IEEE90(7)(2002)1151-1163.
[13] K. Kim, T. H .Chalidabhongse, D. Harwood, L. S. Davis, Real-time foreground-background segmentation using codebook model, Real- Time Imaging11(3)(2005)172-185.
[14] N. A. Mandellos, I. Keramitsoglou, C. T. Kiranoudis, A background subtraction algorithm for detecting and tracking vehicle, Expert Syst. Appl38 (2011)1619-1631.
[15] B. P. L. Lo, S. A. Velastin, Automatic congestion detection system for underground platforms, in: Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong,China,2000,pp.158-161.
[16] R. Cucchiara, C. Grana, M. Piccardi, A. Prati, Detecting moving objects, ghosts and shadows in video streams, IEEETrans. Pattern Anal. Mach. Intell.25 (10) (2003)1337-1342.
[17] A. Tashk, and M. S. Helfroush, "n Automatic Traffic Control System based on Simultaneous Persian License Plate Recognition and Driver Fingerprint Identification, "20th Telecommunications forum TELFOR 2012 Serbia, Belgrade, November 20-22, 2012.
[18] G. Ayorkor Mills-Tettey, Anthony Stentz, M. Bernardine Dias. The Dynamic Hungarian Algorithm for the Assignment Problem with Changing Costs. Robotics Institute
[19] Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, July 2007.
[20] H. W. Kuhn, The Hungarian Method for the assignment problem", Naval Research Logistics Quarterly, 2: 83-97, 1955. Kuhn's original publication.
[21] H. W. Kuhn, "Variants of the Hungarian method for assignment problems, Naval Research Logistics Quarterly, 3: 253 - 258, 1956.
[22] I. H. TOROSLU and G. OLUK, "ncremental assignment problem. Information Sciences," 177, 6 (March 2007), pp. 1523-1529.

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