Abdul Aziz, Z. (2010). An Overview of the Importance of Industrial Mathematics. Journal of Science
and Mathematics Letter, 2(2), 9-17. Retrieved December, 1, 2010, from
http://ejournal.upsi.edu.my/index.php/JSML /article/view/427
Adnan, M.A. (2007). Development of Entrance Ramp Merging Density Model Based on an Urban
Expressway Traffic Condition. School of Civil Engineering, Universiti Sains Malaysia.
Akçelik, R., Roper, R., & Besley, M. (1999). Fundamental Relationships for Freeway Traffic Flows.
Australian Road Research Board.
Alperovich, T., & Sopasakis, A. (2008). Stochastic Description of Traffic Flow. Journal of
Statistical Physics, 133(6), 1083.
Anuar, K., Habtemichael, F., & Cetin, M. (2015). Estimating Traffic Flow Rate on Freeways from
Probe Vehicle Data and Fundamental Diagram. IEEE 18th International Conference on Intelligent
Transportation Systems, 2921-2926.
Aw, A. A. T. M., Klar, A., Rascle, M., & Materne, T. (2002). Derivation of Continuum
Traffic Flow Models from Microscopic Follow-the-leader Models. SIAM Journal on Applied
Mathematics, 63(1), 259-278.
Babicheva, T. S., & Babichev, D. S. (2015). Numerical Methods for Modeling of Traffic Flows at
Research and Optimization of Traffic on the Signal-controlled Road
Intersections. ITQM, 461-468.
Bellemans, T., De Schutter, B., & De Moor, B. (2002). Models for traffic control. JOURNAL A,
43(3/4), 13-22.
Berg, P., Mason, A., & Woods, A. (2000). Continuum Approach to Car-following
Models. Physical Review E, 61(2), 1056.
Brackstone, M., & McDonald, M. (1999). Car-following: a
Historical Review. Transportation Research Part F: Traffic Psychology and Behaviour, 2(4),
181-196.
Brilon, W., Geistefeldt, J., & Regler, M. (2005). Reliability of Freeway Traffic Flow:
a
Stochastic Concept of Capacity. Proceedings of the 16th International symposium on
transportation and traffic theory, 125(143).
Chandler, R.E., Herman, R., & Montrall, E.W. (1958). Traffic Dynamics: Studied in Car-
Following. Operation Research, 6(2), 165-184.
Chanut, S., & Buisson, C. (2003). Macroscopic Model and Its Numerical Solution for Two- flow
Mixed Traffic with Different Speeds and Lengths. Transportation research record,
1852(1), 209-219.
Chen, J., & Fang, Y. (2015). Macroscopic Modeling for Traffic Flow on Three-lane
Highways. International Journal of Modern Physics C, 26(11).
Choudhary, A., & Gokhale, S. (2016). Urban Real-world Driving Traffic Emissions during Interruption
and Congestion. Transportation Research Part D: Transport and Environment, 43,
59-70.
Chu, K. C., Saigal, R., & Saitou, K. (2016). Stochastic Lagrangian Traffic Flow Modeling and
Real-time Traffic Prediction. IEEE International Conference on Automation Science and
Engineering (CASE), 213-218.
Daganzo, C.F. (1995). Requiem for Second-order Fluid Approximations of Traffic
Flow. Transportation Research Part B: Methodological, 29(4), 277-286.
Daganzo, C.F. (2002). A Behavioral Theory of Multi-lane Traffic Flow. Part I: Long
Homogeneous Freeway Sections. Transportation Research Part B: Methodological, 36(2), 131-158.
Dawkins, P. (2018). Paul’s Online Math Notes. Retrieved June, 6, 2018, from
http://tutorial.math.lamar.edu/Classes/DE/PeriodicOrthogonal.aspx
Dong, C., Dolan, J. M., & Litkouhi, B. (2017). Intention Estimation for Ramp Merging
Control in Autonomous Driving. IEEE Intelligent Vehicles Symposium (IV), 1584-1589.
Drew, D.R. (1964). Theoretical Approaches to the Study and Control of Freeway
Congestion. Texas Transportation Institute.
Du, J., Rakha, H. A., Elbery, A., & Klenk, M. (2018). Microscopic simulation
and calibration of a large-scale metropolitan network: Issues and proposed solutions.
Francesco, D.M., & Rosini, M.D. (2015). Rigorous Derivation of Nonlinear Scalar
Conservation Laws from Follow-the-leader Type Models via Many Particle Limit. Archive for rational
mechanics and analysis, 217(3), 831-871.
Freckleton, D.R. (2012). Traffic Operations Analysis of Merging Strategies for Vehicles in an
Automated Electric Transportation System. All Graduate Theses
and Dissertations.1418.
Frejo, J. R. D., Papamichail, I., Papageorgiou, M., & Camacho, E. F. (2015). Macroscopic Modeling
and Control of Reversible Lanes on Freeways. IEEE Transactions on Intelligent Transportation
Systems, 17(4), 948-959.
Gao, Z., Zhang, N., Mannini, L., & Cipriani, E. (2018). The br Model with Relative Speed in
Front on the Three-Lane Road. Discrete Dynamics in Nature and Society.
Gazis, D. C., Herman, R., & Potts, R. B. (1959). Car-Following Theory of Steady-State
Traffic Flow. Operations research, 7(4), 499-505.
Gettman, D., Head, L., & Mirchandani, P. (1999). RHODES-ITMS Corridor Control
Project (No. FHWA-AZ99-462).
Gendreau, M., Ghiani, G., & Guerriero, E. (2015). Time-dependent Routing Problems: A
Review. Computers & Operations Research, 64, 189-197.
Gipps, P.G. (1981). A Behavioral Car-Following Model for
Computer Simulation. Transportation Research Part B: Methodological, 15(2), 105-111.
Gordon, W. J., & Newell, G. F. (1964). Equilibrium Analysis of a Stochastic Model of
Traffic Flow. Mathematical Proceedings of the Cambridge Philosophical Society, 60(2),
227-236.
Gold, C., Körber, M., Lechner, D., & Bengler, K. (2016). Taking Over Control from Highly Automated
Vehicles in Complex Traffic Situations: the Role of Traffic Density. Human
factors, 58(4), 642-652.
Greenberg, H. (1959). An Analysis of Traffic Flow. Operations research, 7(1), 79-85.
Greenshield, B. (1935). A Study of Capacity. Proceedings of the Highway Research Board,
14, 967-976.
Hadiuzzaman, M., Qiu, T. Z., & Lu, X. Y. (2012). Variable Speed Limit Control Design for Relieving
Congestion Caused by Active Bottlenecks. Journal of Transportation Engineering,
139(4), 358-370.
Habtemichael, F. G., & Cetin, M. (2016). Short-term Traffic Flow Rate Forecasting Based on
Identifying Similar Traffic Patterns. Transportation research Part C: Emerging
Technologies, 66, 61-78.
Haight, F. A., Whisler, B. F., & Mosher, W. W. (1961). New Statistical Method for
Describing Highway Distribution of Cars. Highway Research Board Proceedings, 40.
Haight, F. A., Bisbee, E. F., & Wojcik, C. (1963). Some Mathematical Aspects of the
Problem of Merging. Institute of Transportation and Traffic Engineering.
Harr, M. E., & Leonards, G. A. (1962). A Theory of Traffic Flow for Evaluation of
the Geometric Aspects of Highways.
Haque, N. N., Halder, S., Islam, M. A., Nag, R., Alam, M. R. B., Hassan, M. M., & Hasnaine
M. S. (2013).Traffic Speed Study. Department of Civil Engineering. Ahsanullah University of Science
and Technology.
He, Z., Zheng, L., & Guan, W. (2015). A Simple Nonparametric Car-following Model Driven by Field
Data. Transportation Research Part B: Methodological, 80, 185-201.
Hoogendoorn, S. P., & Bovy, P. H. (2001). State-of-the-art of Vehicular Traffic Flow
Modelling. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of
Systems and Control Engineering, 215(4), 283-303.
Hu, X., & Sun, J. (2019). Trajectory Optimization of Connected and Autonomous Vehicles at a
Multilane Freeway Merging Area. Transportation Research Part C: Emerging
Technologies, 101, 111-125.
Hua, X. D., Wang, W., & Wang, H. (2016). A Car-following Model with the Consideration
of Vehicle-to-vehicle Communication Technology. Acta Physica Sinica, 65(1), 010502.
Hung Tang, K., Xiao He, L., Ming Min, G., & Zheng, W. (2015). A New Traffic Model with a
Lane-Changing Viscosity Term. Chinese Physics B, 24(9).
Hughes, B. P., Newstead, S., Anund, A., Shu, C. C., & Falkmer, T. (2015). A review
of models relevant to road safety. Accident Analysis & Prevention, 74, 250-270.
Jabeena, M. (2013). Comparative Study of Traffic Flow Models and Data Retrieval Methods from Video
Graphs. International Journal of Engineering Research and Applications, 3(6), 1087-1093.
Jabari, S. E., & Liu, H. X. (2012). A Stochastic Model of Traffic Flow: Theoretical
Foundations. Transportation Research Part B: Methodological, 46(1), 156-174.
Jiang, R., Wu, Q., & Zhu, Z. (2001). Full Velocity Difference Model for a
Car-following Theory. Physical Review E, 64(1).
Jiang, R., Wu, Q. S., & Zhu, Z. J. (2002). A New Continuum Model for Traffic Flow and Numerical
Tests. Transportation Research Part B: Methodological, 36(5), 405-419.
Jiang, Y. Q., Ma, P. J., & Zhou, S. G. (2018). Macroscopic Modeling Approach to Estimate
Traffic-related Emissions in Urban Areas. Transportation Research Part D: Transport and
Environment, 60, 41-55.
Jin, J., Ma, X., & Kosonen, I. (2017). A Stochastic Optimization Framework for Road Traffic
Controls Based on Evolutionary Algorithms and Traffic Simulation. Advances in
Engineering Software, 114, 348-360.
Kanai, M., Nishinari, K., & Tokihiro, T. (2005). Stochastic Optimal Velocity Model and its
Long-lived Metastability. Physical Review E, 72(3), 035102.Khan, Z. H., Gulliver, T. A.,
Kerner, B. S. (2015). Failure of Classical Traffic Flow Theories: A Critical Review.e
&i Elektrotechnik and Informationstechnik, 132(7), 417-433.
Khan, J. A., & Tarry, S. R. (2018). Speed Spot Study by Comparing Time Mean Speed and Space Mean
Speed. International Journal of Advanced Science and Research, 3(1), 97-102.
Khan, Z. H., Gulliver, T. A., Nasir, H., Rehman, A., & Shahzada, K. (2019). A Macroscopic Traffic
Model Based on Driver Physiological Response. Journal of Engineering Mathematics,
115(1), 21-41.
Kita, H., Tanimoto, K., & Fukuyama, K. (2002). A Game Theoretic Analysis of Merging- Giveway
Interaction: a Joint Estimation Model. Proceedings of the 15th International Symposium on
Transportation and Traffic Theory, 503-518.
Kometani, E., & Sasaki, T. (1959). A Safety Index for Traffic with
Linear Spacing. Operations research, 7(6), 704-720.
Kometani, E., & Sasaki, T., (1961). Dynamic Behavior of Traffic with a Nonlinear Spacing. In:
Herman, R. (Ed.), Theory of Traffic Flow.105–119.
Kraus, S. (1997). Towards a Unified View of Microscopic Traffic Flow Theories. IFAC
Proceedings, 30(8), 901-905.
Kwon, S., & Kim, T. (2018). Study on the Behavior of Merging Vehicles at Highway
Junctions. Journal information service system, 179-179.
Lazar, H., Rhoulami, K., & Rahmani, D. (2016). A Review Analysis of Optimal Velocity
Models. Periodica Polytechnica Transportation Engineering, 44(2), 123-131
Lazar, H., Rhoulami, K., & Rahmani, M. D. (2017). Microscopic Evaluation of Extended
Car-following Model in Multi-lane Roads. Informatica, 42(1).
Leclercq, L., Laval, J. A., & Chevallier, E. (2007). The Lagrangian Coordinates and wWhat It Means
for First Order Traffic Flow Models. Transportation and Traffic Theory 2007.
Leclercq, L. (2007a). Hybrid Approaches to the Solutions of the “Lighthill–Whitham–
Richards” Model. Transportation Research Part B: Methodological, 41(7), 701-709.
Li, X. (2018). The Symmetric Intersection Design and Traffic
Control
Optimization. Transportation Research Part C: Emerging Technologies, 92, 176-190.
Li, L., & Chen, X. M. (2017). Vehicle Headway Modeling and its Inferences
in
Macroscopic/microscopic traffic flow theory: A survey. Transportation Research Part C:
Emerging Technologies, 76, 170-188.
Li, Y., & Sun, D. (2012). Microscopic Car-following Model for the Traffic Flow: the State of the
Art. Journal of Control Theory and Applications, 10(2), 133-143.
Li, Y., Sun, D., Liu, W., Zhang, M., Zhao, M., Liao, X., & Tang, L. (2011). Modeling and Simulation
for Microscopic Traffic Flow based on Multiple Headway, Velocity and Acceleration
Difference. Nonlinear Dynamics, 66(1-2), 15-28.
Li, Y., Quo, M., & Li, Y. (2018). A Car-Following Model Considering Two Different Time Delays and
Stability Analysis. Chinese Control and Decision Conference (CCDC), 2746- 2751.
Li, C., Jiang, X., Wang, W., Cheng, Q., & Shen, Y. (2016). A Simplified Car-following
Model Based on the Artificial Potential Field. Procedia engineering, 137, 13-20.
Liao, P., Tang, T. Q., Wang, T., & Zhang, J. (2019). A Car-following Model Accounting for the
Driving Habits. Physica A: Statistical Mechanics and its Applications, 525, 108-118.
Liu, F., Cheng, R., Ge, H., & Yu, C. (2016). A New Car-following Model with Consideration of the
Velocity Difference Between the Current Speed and the Historical Speed of the Leading
Car. Physica A: Statistical Mechanics and its Applications, 464, 267-277.
Lighthill, M. J., & Whitham, G. B. (1955). On Kinematic Waves II. A Theory of
Traffic Flow on Long Crowded Roads. Proceedings of the Royal Society of London. Series
A. Mathematical and Physical Sciences, 229(1178), 317-345.
Lopez, P. A., Behrisch, M., Bieker-Walz, L., Erdmann, J., Flötteröd, Y. P., Hilbrich,
R. WieBner, E. (2018). Microscopic Traffic Simulation Using Sumo. 21st International
Conference on Intelligent Transportation Systems (ITSC), 2575-2582.
Mathew, T.V., & Rao, K.K. (2006). Introduction to Transportation Engineering. Marshal Mix Design,
National Program on Technology Enhanced Learning (NPTEL).
Mathew, T. V. (2014). Transportation Systems Engineering. Cell Transmission Models, IIT
Bombay.
Manual, H. C. (2000). Highway Capacity Manual.2.
McCoy, P. T., & Pesti, G. (2001). Dynamic Late Merge–Control Concept for Work Zones on
Rural Interstate Highways. Transportation Research Record, 1745(1), 20-26.
Milanés, V., Godoy, J., Villagrá, J., & Pérez, J. (2010). Automated On-ramp Merging System for
Congested Traffic Situations. IEEE Transactions on Intelligent Transportation Systems,
12(2), 500-508.
Nasir, H., Rehman, A., & Shahzada, K. (2019). A Macroscopic Traffic Model Based on
Driver Physiological Response. Journal of Engineering Mathematics, 115(1), 21-41.
Newell, G.F. (1955). Mathematical Models for Freely-flowing Highway Traffic. Journal of Operations
Research Society of America, 3(2), 176-186.
Newell, G.F. (2002). A Simplified Car-following Theory: A Lower Order Model.
Transportation Research Part B: Methodological, 36(3), 195-205.
Ngoduy D & Liu R. (2007). Multiclass First-order Simulation Model to Explain Non-linear Traffic
Phenomena. Phys A Stat Mech Appl, 385(2):667–682.
Ngoduy D. (2010). Multiclass First-order Modelling of Traffic Networks
Using Discontinuous Flow–density Relationships. Transportmetrica 6(2):121–141.
Ngoduy D. (2011). Multiclass First-order Traffic Model Using Stochastic Fundamental
Diagrams. Transportmetrica, 7(2):111–125.
Ngoduy, D., Lee, S., Treiber, M., Keyvan-Ekbatani, M., & Vu, H. L. (2019). Langevin
Method for a Continuous Stochastic Car-following Model and its
Stability Conditions. Transportation Research Part C: Emerging Technologies, 105, 599-610.
Okuda, H., Harada, K., Suzuki, T., Saigo, S., & Inoue, S. (2016). Modeling and Analysis of
Acceptability for Merging Vehicle at Highway Junction. International Conference on
Intelligent Transportation Systems (ITSC).1004-1009.
Olstam, J. J., & Tapani, A. (2004). Comparison of Car-following Models. Swedish National
Road and Transport Research Institute. 960.
Orosz, G., Wilson, R. E., & Stépán, G. (2010). Traffic Jams: Dynamics and Control.
Philoshopical Transaction of the Royal Society A: Mathematical, Physic and Engineering Science.
368 (1982), 4455-4479.
Ou, H., Tang, T. Q., Zhang, J., & Zhou, J. M. (2018). A Car-following Model Accounting for
Probability Distribution. Physica A: Statistical Mechanics and its Applications, 505, 105-
113.
Panwai, S., & Dia, H. (2005). Comparative Evaluation of Microscopic Car-following
Behavior. IEEE Transactions on Intelligent Transportation Systems, 6(3), 314-325.
Papathanasopoulou, V., & Antoniou, C. (2015). Towards Data-driven Car-following
Models. Transportation Research Part C: Emerging Technologies, 55, 496-509.
Park, H., & Smith, B. L. (2012). Investigating Benefits of Intel Drive in
Freeway Operations: Lane Changing Advisory Case Study. Journal of
Transportation Engineering, 138(9), 1113- 1122.
Payne, H.J. (1977). Discontinuity in Equilibrium Freeway Traffic Flow. Transportation
Research Record.
Pipes, L. A. (1953). An Operational Analysis of Traffic Dynamics. Journal of Applied
Physics, 24(3), 274-281.
Pueboobpaphan, R., Liu, F., & Van Arem, B. (2010). The Impacts of a Communication based Merging
Assistant on Traffic Flows of Manual and Equipped Vehicles at an On-ramp Using
Traffic Flow Simulation. International IEEE Conference on Intelligent
Transportation Systems .1468-1473.
Qu, X., Zhang, J., & Wang, S. (2017). On the Stochastic Fundamental Diagram for Freeway Traffic:
Model Development, Analytical Properties, Validation, and Extensive Applications.
Transportation research part B: methodological, 104, 256-271.
Raj, J., Bahuleyan, H., & Vanajakshi, L. D. (2016). Application of Data Mining Techniques for
Traffic Density Estimation and Prediction. Transportation Research Procedia, 17, 321-
330.
Ranjitkar, P., Nakatsuji, T., Azuta, Y., & Gurusinghe, G. S. (2003). Stability Analysis Based
on Instantaneous Driving Behavior Using Car-following Data. Transportation Research Record,
1852(1), 140-151.
Ran, B., Leight, S., & Chang, B. (1999). A Microscopic Simulation Model for Merging
Control on a Dedicated-lane Automated Highway System. Transportation Research Part C:
Emerging Technologies, 7(6), 369-388.
Razzaq, A. K. (2017). Model Development to Predict Free Flow Speed for Multi-lane
Highways. Res. Rev. J. Eng. Technol, 6, 1-7.
Reddy, M.S. (1966). Quantitative Evaluation of the Effect of Merging Vehicles on Freeway
Operation. PhD. Thesis. Texas A and M University.
Roess, R. P., Prassas, E. S., & McShane, W. R. (2004). Traffic engineering. Pearson/Prentice Hall.
Rothery, R. W. (1992). Car Following Models. Traffic Flow Theory.
Sallis, James F., Lawrence D. Frank, B.E., Saelens, & Katherine M.K. (2004). Active
Transportation and Physical Activity: Opportunities for Collaboration on Transportation and
Public Health Research. Transportation Research Part A: Policy and Practice, 38(4), 249-268.
Sekhar, C. R., Nataraju, J., Velmurugan, S., Kumar, P., & Sitaramanjaneyulu, K. (2016). Free Flow
Speed Analysis of Two Lane Inter Urban Highways. Transportation research procedia,
17, 664-673.
Shah, P. M., & Niharika, G. (2016). Study of Traffic Flow Characteristics on the National Highway
(NH-1) Connecting Jalandhar Phagwara. International Journal of Latest trends in Engineering and
Technology, 6(4), 1-12.
Sharma, H. K., & Swami, M. (2012). Effect of Turning Lane at Busy Signalized At-Grade Intersection
under Mixed Traffic in India.
Spiliopoulou, A., Papamichail, I., Papageorgiou, M., Tyrinopoulos, Y., & Chrysoulakis, J.
(2017). Macroscopic Traffic Flow Model Calibration Using Different Optimization
Algorithms. Operational Research, 17(1), 145-164.
Sun, J., Li, Z., & Sun, J. (2015). Study on Traffic Characteristics for a Typical Expressway on
Ramp Bottleneck Considering Various Merging Behaviors. Physics A: Statistical
Mechanics and its Applications, 440, 57-67.
Sutarto, H. Y., Boel, R. K., & Joelianto, E. (2015). Parameter Estimation for
Stochastic Hybrid Model Applied to Urban Traffic Flow Estimation. IET Control
Theory & Applications, 9(11), 1683-1691.
Tang, T. Q., Wong, S. C., Huang, H. J., & Zhang, P. (2009). Macroscopic Modeling of Lane? Changing
for Two ?lane Traffic Flow. Journal of Advanced Transportation, 43(3), 245- 273.
Tang, Z., Chen, S., Cheng, J., Ghahari, S. A., & Labi, S. (2018). Highway Design and Safety
Consequences: A case study of interstate highway vertical grades. Journal of Advanced
Transportation.
Tie-Qiao, T., Hai-Jun, H., Wong, S. C., & Rui, J. (2009). A New Car-following Model with
Consideration of the Traffic Interruption Probability. Chinese Physics B, 18(3), 975.
Treiber, M., & Kesting, A. (2013). Traffic Flow Dynamics. Traffic Flow Dynamics: Data,
Models and Simulation.
Troutbeck, R. (2002). The Performance of Uncontrolled Merges Using a Limited Priority Process.
Proceedings of the 15th International Symposium on Transportation and Traffic Theory, 463- 482.
Underwood, R. T. (1961) Speed, Volume, and Density relationships. In: Quality and Density of
Traffic Flow, Yale Bureau of Traffic, 66-76.
Unit, E. P. (2015). Eleventh Malaysia Plan, 2016-2020, Anchoring Growth on People.
Putrajaya, Prime Minister’s Department.
Wageningen Kessels, V.F., Van Lint, H., Vuik, K., & Hoogendoorn, S. (2015). Genealogy of Traffic
Flow Models. EURO Journal on Transportation and Logistics, 4(4), 445-473.
Waldeer, K. T. (2004). Numerical Investigation of a Mesoscopic Vehicular Traffic Flow
Model Based on a Stochastic Acceleration Process.
Wang, J., Liu, R., & Montgomery, F. (2005). Car-following Model for Motorway
Traffic. Transportation Research Record, 1934(1), 33-42.
Wang, H., Li, J., Chen, Q. Y., & Ni, D. (2009). Speed-Density Relationship: From
Deterministic to Stochastic. In 88th TRB Annual Meeting. Washington: Transportation
Research Board, 09, 1527.
Wang, T., Zhang, J., Li, G., Xu, K., & Li, S. (2018). A New Car-Following Model
with Consideration of Dynamic Safety Distance. Discrete Dynamics in Nature and Society.
Wong, G. C. K., & Wong, S. C. (2002). A Multi-class Traffic Flow Model–An Extension of LWR Model
with Heterogeneous Drivers. Transportation Research Part A: Policy and Practice, 36(9),
827-841.
Wilson, R. E. (2001). An Analysis of Gipps's Car?Following Model of Highway Traffic. IMA Journal of
Applied Mathematics, 66(5), 509-537.
Xie, F., & Feng, Q. (2013). Research of Effects of Accident on Traffic Flow Characteristics.
Proceedings International Conference on Mechatronic Sciences, Electric Engineering and Computer
(MEC), 1670-1674.
Yang, L., & Chu, C. P. (2011). Stochastic model for traffic flow prediction and its
validation, 11, 86.
Ye, L., & Yamamoto, T. (2018). Modeling Connected and Autonomous Vehicles in
Heterogeneous Traffic Flow. Physica A: Statistical Mechanics and its Applications, 490,
269-277.
Yu, S., & Shi, Z. (2015). An Improved Car-following Model Considering Headway Changes with Memory.
Physica A: Statistical Mechanics and its Applications, 421, 1-14.
Yu, C., Zhang, J., Yao, D., Zhang, R., & Jin, H. (2016). Speed-density Model of Interrupted Traffic
Flow Based on Coil Data. Mobile Information Systems.
Zamith, M., Leal-Toledo, R. C. P., Clua, E., Toledo, E. M., & de Magalhães, G. V. (2015). A New
Stochastic Cellular Automata Model for Traffic Flow Simulation with Drivers’
Behavior Prediction. Journal of computational science, 9, 51-56.
Zeng, Y. Z., & Zhang, N. (2016). Review and New Insights of the Car-following Model for
Road Vehicle Traffic Flow. Proceedings of the 6th International Asia Conference on
Industrial Engineering and Management Innovation, 87-96.
Zedda, M., & Pinna, F. (2018). Prediction Models for Space Mean Speed on Urban Roads. Proceedings
of International Conference on Computational Intelligence and Data Engineering,
11-28.
Zhang, H. M. (1999). A Mathematical Theory of Traffic Hysteresis. Transportation Research Part B:
Methodological, 33(1), 1-23.
Zhang, M., Shu, C. W., Wong, G. C., & Wong, S. C. (2003). A Weighted Essentially Non- oscillatory
Numerical Scheme for a Multi-class Lighthill–Whitham–Richards Traffic Flow Model. Journal of
Computational Physics, 191(2), 639-659.
Zhang, S., Wu, G., Costeira, J. P., & Moura, J. M. (2017). Understanding Traffic
Density from Large-Scale Web Camera Data. Proceedings of the IEEE Conference on Computer
Vision and Pattern Recognition, 5898-5907.
Zhang, J. (2018). Probabilistic Modelling for Flow Density Relationship.
Zhang, J., & Wang, X. (2018, June). Validation of an Optimization Model Based Stochastic Traffic
Flow Fundamental Diagram. International Conference on Intelligent Interactive Multimedia
Systems and Services, 329-337.
Zhu, J., & Saccomanno, F. F. (2004). Safety Implications of Freeway Work Zone Lane
Closures. Transportation research record, 1877(1), 53-61.