Modeling Lateral Acceleration on Ramp Curves of Service Interchanges in India: An Instrumented-Vehicle Study

AbstractRamps are a critical component of an interchange, which seek maximum driver attention to satisfy the deceleration and acceleration requirements. To improve safety and articulate significant...

[1]  Ali Uyar,et al.  Measuring firm performance using financial ratios: A decision tree approach , 2013, Expert Syst. Appl..

[2]  Jianjun Wang,et al.  An annual load forecasting model based on support vector regression with differential evolution algorithm , 2012 .

[3]  Neelima Arora,et al.  Classification and Regression Tree (CART) Analysis forDeriving Variable Importance of Parameters InfluencingAverage Flexibility of CaMK Kinase Family , 2008 .

[4]  Xuesong Wang,et al.  The influence of combined alignments on lateral acceleration on mountainous freeways: a driving simulator study. , 2015, Accident; analysis and prevention.

[5]  Wenchen Yang,et al.  The Analysis of Road Condition Causes of Traffic Accidents on Mountainous Highway and Its Safety Countermeasures , 2019, CICTP 2019.

[6]  Dalia SaidD. Said,et al.  Comfort thresholds for horizontal curve design , 2009 .

[7]  Abdulazeez Abdulraheem,et al.  A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir , 2017 .

[8]  Xiaoduan Sun,et al.  Safety Analysis of Freeway Interchanges , 2008 .

[9]  Ali Abdi Kordani,et al.  The effect of combined horizontal curve and longitudinal grade on side friction factors , 2015 .

[10]  Nikiforos Stamatiadis,et al.  Operating Speed Prediction Models for Horizontal Curves on Rural Four-Lane Highways , 2008 .

[11]  Morteza Osanloo,et al.  Mining capital cost estimation using Support Vector Regression (SVR) , 2019, Resources Policy.

[12]  Mukesh Singhal,et al.  Do You Want Your Autonomous Car to Drive Like You? , 2015, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.

[13]  Danyang Li,et al.  Traffic Flow Prediction during the Holidays Based on DFT and SVR , 2019, J. Sensors.

[14]  Vojislav Kecman,et al.  Support Vector Machines – An Introduction , 2005 .

[15]  Yasser Hassan,et al.  Effect of Vertical Alignment on Driver Perception of Horizontal Curves , 2003 .

[16]  Mohd Amiruddin Abd Rahman,et al.  Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm , 2019, Solar Energy.

[17]  Randall Guensler,et al.  Effect of On-Ramp Geometric and Operational Factors on Vehicle Activity , 2005 .

[18]  Laura Eboli,et al.  How to define the accident risk level of car drivers by combining objective and subjective measures of driving style , 2017 .

[19]  Tushar Choudhari,et al.  Risk Assessment of Horizontal Curves Based on Lateral Acceleration Index: A Driving Simulator-Based Study , 2020, Transportation in Developing Economies.

[20]  D. T. Lee,et al.  Travel-time prediction with support vector regression , 2004, IEEE Transactions on Intelligent Transportation Systems.

[21]  Zong Tian,et al.  Investigating driver injury severity patterns in rollover crashes using support vector machine models. , 2016, Accident; analysis and prevention.

[22]  Evangelos I. Kaisar,et al.  Crash comparison of single point and tight diamond interchanges , 2005 .

[23]  Sunday O. Olatunji,et al.  Investigating the effect of correlation-based feature selection on the performance of support vector machines in reservoir characterization , 2015 .

[24]  Richard A Lundy The Effect of Ramp Type and Geometry on Accidents , 1967 .

[25]  Anne T McCartt,et al.  Types and characteristics of ramp-related motor vehicle crashes on urban interstate roadways in Northern Virginia. , 2004, Journal of safety research.

[26]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[27]  C. Kuzey,et al.  Elucidating the Impact of Visa Regimes: A Decision Tree Analysis , 2019, Tourism Management Perspectives.

[28]  Linjun Lu,et al.  Modeling Speed Profile on Freeway Exit Ramps Using Support Vector Regression , 2012 .

[29]  XiangMo Zhao,et al.  Traffic flow time series prediction based on statistics learning theory , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[30]  Tushar Choudhari,et al.  Socio-demographic and experience factors affecting drivers' runoff risk along horizontal curves of two-lane rural highway. , 2019, Journal of safety research.

[31]  Weifeng Lv,et al.  Highway Traffic Volume Prediction via Stacking KNN, SVR, MLP, RNN , 2018, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

[32]  Jicheng Meng,et al.  Support Vector Regression Model for Measuring the Permittivity of Asphalt Concrete , 2007, IEEE Microwave and Wireless Components Letters.

[33]  Xiaohong Chen,et al.  Short Term Prediction of Freeway Exiting Volume Based on SVM and KNN , 2015 .

[34]  R. Saidur,et al.  Application of support vector machine models for forecasting solar and wind energy resources: A review , 2018, Journal of Cleaner Production.

[35]  Said M. Easa,et al.  Radius Requirements for Reverse Horizontal Curves on Three-Dimensional Alignments , 2004 .

[36]  Marco Bassani,et al.  Experimental Investigation into Driver Behavior along Curved and Parallel Diverging Terminals of Exit Interchange Ramps , 2021, Transportation Research Record: Journal of the Transportation Research Board.

[37]  Basil Psarianos,et al.  Speed Behavior Analysis at Curved Ramp Sections of Minor Interchanges , 2001 .

[38]  Yasser Hassan,et al.  Reliability-Based Design of Horizontal Curves on Two-Lane Rural Highways , 2016 .

[39]  Digvijay S. Pawar,et al.  Modeling Operating Speed Using Continuous Speed Profiles on Two-Lane Rural Highways in India , 2020 .

[40]  Peter T. Savolainen,et al.  Driver Response to a Dynamic Speed Feedback Sign on Freeway Exit Ramps Based on Sign Location, Interchange Type, and Time of Day , 2020, Transportation Research Record: Journal of the Transportation Research Board.

[41]  Bryan J Katz,et al.  Field Study of Driver Exiting Behavior at Complex Interchanges , 2018 .

[42]  I. Tasic,et al.  Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles. , 2021, Accident; analysis and prevention.

[43]  Wei Wang,et al.  Using support vector machine models for crash injury severity analysis. , 2012, Accident; analysis and prevention.

[44]  Muhammad Akram Adnan,et al.  Vehicle speed measurement technique using various speed detection instrumentation , 2013, 2013 IEEE Business Engineering and Industrial Applications Colloquium (BEIAC).

[45]  Mohamed Abdel-Aty,et al.  Microscopic Safety Evaluation and Prediction for Freeway-to-Freeway Interchange Ramps , 2016 .

[46]  Shiliang Zhang,et al.  Correlation-Based Feature Selection and Regression , 2010, PCM.

[47]  Mashrur Chowdhury,et al.  Decision Support System for Predicting Traffic Diversion Impact across Transportation Networks Using Support Vector Regression , 2007 .

[48]  Digvijay S. Pawar,et al.  Speed prediction models for heavy passenger vehicles on rural highways based on an instrumented vehicle study , 2020, Transportation Letters.

[49]  W. Verhoef,et al.  Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression , 2013 .

[50]  Bernhard Schölkopf,et al.  A tutorial on support vector regression , 2004, Stat. Comput..

[51]  Dipti Srinivasan,et al.  Support vector machine models for freeway incident detection , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[52]  Yasser Hassan,et al.  Studying Driving Behavior on Horizontal Curves using Naturalistic Driving Study Data , 2018 .

[53]  Feng Chen,et al.  Research on Safety of Freeway Off-Ramp Lane Changing Behavior Based on Lateral Force Coefficient , 2015 .

[54]  Kirsten White,et al.  Characterization of Janus V3 After Market Vehicle Camera with Global Positioning and 3-Axis Accelerometer , 2017 .

[55]  Vojislav Kecman,et al.  Multi-target support vector regression via correlation regressor chains , 2017, Inf. Sci..

[56]  Mohd Amiruddin Abd Rahman,et al.  Modeling and prediction of the specific heat capacity of Al2 O3/water nanofluids using hybrid genetic algorithm/support vector regression model , 2019, Nano-Structures & Nano-Objects.

[57]  Said M. Easa,et al.  Design radius requirements for simple horizontal curves on three-dimensional alignments , 2003 .

[58]  Wen-Chyi Lin,et al.  A CASE STUDY ON SUPPORT VECTOR MACHINES VERSUS ARTIFICIAL NEURAL NETWORKS , 2004 .

[59]  Jason W. Osbourne,et al.  Four Assumptions of Multiple Regression That Researchers Should Always Test. , 2002 .

[60]  L. Vanajakshi,et al.  A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[61]  Jianli Xiao,et al.  SVM and KNN ensemble learning for traffic incident detection , 2019, Physica A: Statistical Mechanics and its Applications.

[62]  Yasser Hassan,et al.  Modeling Speed and Comfort Threshold on Horizontal Curves of Rural Two-Lane Highways Using Naturalistic Driving Data , 2019 .

[63]  Martin Garnowski,et al.  On factors related to car accidents on German Autobahn connectors. , 2011, Accident; analysis and prevention.

[64]  L. Papageorgiou,et al.  Customer Demand Forecasting via Support Vector Regression Analysis , 2005 .

[65]  Haneen Farah,et al.  Empirical Speed Behavior on Horizontal Ramp Curves in Interchanges in the Netherlands , 2017 .

[66]  Mark A. Hall,et al.  Correlation-based Feature Selection for Machine Learning , 2003 .

[67]  Serge P. Hoogendoorn,et al.  How do drivers negotiate horizontal ramp curves in system interchanges in the Netherlands? , 2019, Safety Science.

[68]  Raul Avelar,et al.  Exploring the Effects of Important Predictors of Ramp Speed Choice , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[69]  Wei-Chiang Hong,et al.  Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm , 2011, Neurocomputing.

[70]  Massimo Aria,et al.  Continuous Speed Profiles to Investigate Drivers' Behavior on Two-Lane Rural Highways , 2015 .