IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i11p3018-d235040.html
   My bibliography  Save this article

Using Microscopic Simulation-Based Analysis to Model Driving Behavior: A Case Study of Khobar-Dammam in Saudi Arabia

Author

Listed:
  • Hassan M. Al-Ahmadi

    (Department of Civil Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

  • Arshad Jamal

    (Department of Civil Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

  • Imran Reza

    (Department of Civil Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

  • Khaled J. Assi

    (Department of Civil Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

  • Syed Anees Ahmed

    (Department of Civil Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

Abstract

Sustainable transportation systems play a key role in the socio-economic development of a country. Microscopic simulation models are becoming increasingly useful tools in designing, optimizing, and evaluating the sustainability of transportation systems and concerned management strategies. VISSIM, a microscopic traffic simulation software, has gained rapid recognition in the field of traffic simulation. However, default values for different input parameters used during simulation need to be tested to ensure a realistic replication for local traffic conditions. This paper attempts to model driving behavior parameters using the microscopic simulation software VISSIM through a case study in the Khobar-Dammam metropolitan areas in Saudi Arabia. VISSIM default values for different sensitive parameters such as lane change distances, additive and multiplicative parts of desired safety distances, the number of preceding vehicles spotted, amber signal decisions, and minimum headway were identified to be most sensitive and significant parameters to be calibrated to precisely replicate field conditions. The simulation results using default values produced higher link speed, larger queue length, and shorter travel times than those observed in the field. However, measures of effectiveness (MOEs) obtained from calibrated models over desired simulation runs were comparable to those obtained from field surveys. All compared MOEs used to validate the model matched within a range of 5–10% to the field-observed values.

Suggested Citation

  • Hassan M. Al-Ahmadi & Arshad Jamal & Imran Reza & Khaled J. Assi & Syed Anees Ahmed, 2019. "Using Microscopic Simulation-Based Analysis to Model Driving Behavior: A Case Study of Khobar-Dammam in Saudi Arabia," Sustainability, MDPI, vol. 11(11), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3018-:d:235040
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/11/3018/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/11/3018/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bonsall, Peter & Liu, Ronghui & Young, William, 2005. "Modelling safety-related driving behaviour--impact of parameter values," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 425-444, June.
    2. Chen Chen & Xiaohua Zhao & Hao Liu & Guichao Ren & Yunlong Zhang & Xiaoming Liu, 2019. "Assessing the Influence of Adverse Weather on Traffic Flow Characteristics Using a Driving Simulator and VISSIM," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    3. Tullio Giuffrè & Salvatore Trubia & Antonino Canale & Bhagwant Persaud, 2017. "Using Microsimulation to Evaluate Safety and Operational Implications of Newer Roundabout Layouts for European Road Networks," Sustainability, MDPI, vol. 9(11), pages 1-13, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mengmeng Shi & Xin Tian & Xiaowen Li & Binghong Pan, 2023. "The Impact of Parallel U-Turns on Urban Intersection: Evidence from Chinese Cities," Sustainability, MDPI, vol. 15(19), pages 1-23, September.
    2. Mohammed Saleh Alfawzan & Ahmad Aftab, 2022. "Efficiency Assessment of New Signal Timing in Saudi Arabia Implementing Flashing Green Interval Complimented with Law Enforcement Cameras," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    3. Marta Rojo, 2020. "Evaluation of Traffic Assignment Models through Simulation," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    4. Danish Farooq & Janos Juhasz, 2019. "Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    5. Muhammad Zahid & Yangzhou Chen & Arshad Jamal & Coulibaly Zie Mamadou, 2020. "Freeway Short-Term Travel Speed Prediction Based on Data Collection Time-Horizons: A Fast Forest Quantile Regression Approach," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    6. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.
    7. Muhammad Zahid & Yangzhou Chen & Sikandar Khan & Arshad Jamal & Muhammad Ijaz & Tufail Ahmed, 2020. "Predicting Risky and Aggressive Driving Behavior among Taxi Drivers: Do Spatio-Temporal Attributes Matter?," IJERPH, MDPI, vol. 17(11), pages 1-21, June.
    8. Arshad Jamal & Muhammad Ijaz & Meshal Almosageah & Hassan M. Al-Ahmadi & Muhammad Zahid & Irfan Ullah & Rabia Emhamed Al Mamlook, 2022. "Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions," Sustainability, MDPI, vol. 14(23), pages 1-13, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bawan Mahmood & Jalil Kianfar, 2019. "Driver Behavior Models for Heavy Vehicles and Passenger Cars at a Work Zone," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    2. Koutsopoulos, Haris N. & Farah, Haneen, 2012. "Latent class model for car following behavior," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 563-578.
    3. Marijo Vidas & Vladan Tubić & Ivan Ivanović & Marko Subotić, 2022. "One Approach to Quantifying Rainfall Impact on the Traffic Flow of a Specific Freeway Segment," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    4. Tullio Giuffrè & Anna Granà & Salvatore Trubia, 2021. "Safety Evaluation of Turbo-Roundabouts with and without Internal Traffic Separations Considering Autonomous Vehicles Operation," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    5. Peck, Dana & Scott Matthews, H. & Fischbeck, Paul & Hendrickson, Chris T., 2015. "Failure rates and data driven policies for vehicle safety inspections in Pennsylvania," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 252-265.
    6. Jacek Oskarbski & Konrad Biszko, 2022. "Estimation of Vehicle Energy Consumption at Intersections Using Microscopic Traffic Models," Energies, MDPI, vol. 16(1), pages 1-35, December.
    7. Elżbieta Macioszek, 2020. "Roundabout Entry Capacity Calculation—A Case Study Based on Roundabouts in Tokyo, Japan, and Tokyo Surroundings," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    8. Vaezipour, Atiyeh & Rakotonirainy, Andry & Haworth, Narelle & Delhomme, Patricia, 2018. "A simulator evaluation of in-vehicle human machine interfaces for eco-safe driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 696-713.
    9. Irena Ištoka Otković & Barbara Karleuša & Aleksandra Deluka-Tibljaš & Sanja Šurdonja & Mario Marušić, 2021. "Combining Traffic Microsimulation Modeling and Multi-Criteria Analysis for Sustainable Spatial-Traffic Planning," Land, MDPI, vol. 10(7), pages 1-26, June.
    10. Mehrzad Hasanvand & Amir Saman Abdollahzadeh Nasiri & Omid Rahmani & Khaled Shaaban & Hossein Samadi, 2023. "A Conflict-Based Safety Diagnosis of SCI Roundabouts Using a Surrogate Safety Measure Model," Sustainability, MDPI, vol. 15(17), pages 1-19, September.
    11. Changyin Dong & Hao Wang & Quan Chen & Daiheng Ni & Ye Li, 2019. "Simulation-Based Assessment of Multilane Separate Freeways at Toll Station Area: A Case Study from Huludao Toll Station on Shenshan Freeway," Sustainability, MDPI, vol. 11(11), pages 1-22, May.
    12. Xiaoyong Ni & Hong Huang & Ruiqi Li & Anying Chen & Yi Liu & Han Xing & Kai Liu & Ming Wang, 2022. "Synergistic Influence of Rainstorm and Waterlogging on Drivers’ Driving Behavior—An Experimental Study Based on High-Fidelity Driving Simulator," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    13. Aleksandra Deluka Tibljaš & Tullio Giuffrè & Sanja Surdonja & Salvatore Trubia, 2018. "Introduction of Autonomous Vehicles: Roundabouts Design and Safety Performance Evaluation," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    14. Maksymilian Mądziel, 2023. "Future Cities Carbon Emission Models: Hybrid Vehicle Emission Modelling for Low-Emission Zones," Energies, MDPI, vol. 16(19), pages 1-16, October.
    15. Guangyang Hou, 2023. "Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    16. Vincenzo Gallelli & Rosolino Vaiana, 2019. "Safety Improvements by Converting a Standard Roundabout with Unbalanced Flow Distribution into an Egg Turbo Roundabout: Simulation Approach to a Case Study," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    17. Maria Luisa Tumminello & Elżbieta Macioszek & Anna Granà & Tullio Giuffrè, 2023. "A Methodological Framework to Assess Road Infrastructure Safety and Performance Efficiency in the Transition toward Cooperative Driving," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    18. Liu, Ronghui & Van Vliet, Dirck & Watling, David, 2006. "Microsimulation models incorporating both demand and supply dynamics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 125-150, February.
    19. Liu, Ronghui & Hyman, Geoff, 2012. "Modelling motorway merge: The current practice in the UK and towards establishing general principles," Transport Policy, Elsevier, vol. 24(C), pages 199-210.
    20. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3018-:d:235040. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.