Journal of Tongji University(Natural Science), Volume. 53, Issue 7, 1055(2025)
Development of a Car-Following Model for Urban Underground Roads Based on Theory-Data Dual-Driving
[3] [3] THIEMANN C, TREIBER M, KESTING A. Estimating acceleration and lane-changing dynamics from next generation simulation trajectory data[J]. Transportation Research Record, 2008, 2088(1): 90.
[4] [4] KRAJEWSKI R, BOCK J, KLOEKER L,et al. The high dataset: a drone dataset of naturalistic vehicle trajectories on German highways for validation of highly auto-mated driving systems[C]//2018 21st International Conference on Intelligent Transportation Systems (ITSC). New York: IEEE, 2018: 2118-2125.
[5] [5] HUANG Y X, JIANG R, ZHANG H,et al. Experimental study and modeling of car-following behavior under high speed situation[J]. Transportation Research Part C: Emerging Technologies, 2018, 97: 194.
[6] [6] SHANGGUAN Q, WANG J, FU T,et al. An empirical investigation of driver car-following risk evolution using naturistic driving data and random parameters multinomial logit model with heterogeneity in means and variances[J]. Analytic Methods in Accident Research, 2023, 38: 100265.
[7] [7] LI G, LAI W, SUI X,et al. Influence of traffic congestion on driver behavior in post-congestion driving[J]. Accident Analysis Prevention, 2020, 141: 105508.
[8] [8] WANG J, FU T, XUE J,et al. Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset[J]. International Journal of Transportation Science and Technology, 2023, 12(1): 273.
[9] [9] OSSEN S, HOOGENDOORN S P. Car-following behavior analysis from microscopic trajectory data[J]. Transportation Research Record, 2005, 1934(1): 13.
[10] [10] GIPPS P. A behavioural car-following model for computer simulation[J]. Transportation Research Part B: Methodological, 1981, 15(2): 105.
[11] [11] TREIBER M, HENNECKE A, HELBING D. Congested traffic states in empirical observations and microscopic simulations[J]. Physical Review E, 2000, 62: 1805.
[12] [12] FELLENDORF M, VORTISCH P. Validation of the microscopic traffic flow model VISSIM in different real-world situations[C]//Transportation Research Board 80th Annual Meeting. Washington DC: TRB, 2001: 11-.
[13] [13] JIANG R, WU Q, ZHU Z. Full velocity difference model for a car-following theory[J]. Physical Review E, 2001, 64: 017101.
[14] [14] COLOMBARONI C, FUSCO G. Artificial neural network models for car following: Experimental analysis and calibration issues[J]. Journal of Intelligent Transportation Systems, 2014, 18(1): 5.
[15] [15] WEI D, LIU H. Analysis of asymmetric driving behavior using a self- learning approach[J]. Transportation Research Part B: Methodological, 2013, 47: 1.
[16] [16] HUANG X, SUN J, SUN J. A car- following model considering asymmetric driving behavior based on long short-term memory neural networks[J]. Transportation Research Part C: Emerging Technologies, 2018, 95: 346.
[19] [19] CHONG L, ABBAS M M, FLINTSCH A M,et al. A rule-based neural network approach to model driver naturalistic behavior in traffic[J]. Transportation Research Part C: Emerging Technologies, 2013, 32: 207.
[20] [20] WANG X, JIANG R, LI L,et al. Capturing car-following behaviors by deep learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 19: 910.
Get Citation
Copy Citation Text
YANG Hemeng, ZHANG Lanfang, WU Yating, ZHOU Ruida, LI Xiang. Development of a Car-Following Model for Urban Underground Roads Based on Theory-Data Dual-Driving[J]. Journal of Tongji University(Natural Science), 2025, 53(7): 1055
Received: Jan. 17, 2024
Accepted: Aug. 26, 2025
Published Online: Aug. 26, 2025
The Author Email: LI Xiang (123300382@qq.com)