中国物理B ›› 2007, Vol. 16 ›› Issue (6): 1570-1575.doi: 10.1088/1009-1963/16/6/013

• GENERAL • 上一篇    下一篇

Extended speed gradient model for traffic flow on two-lane freeways

汤昌福, 姜锐, 吴清松   

  1. School of Engineering Science, University of Science and Technology of China, Hefei 23006, China
  • 收稿日期:2006-09-15 修回日期:2006-12-27 出版日期:2007-06-20 发布日期:2007-06-20
  • 基金资助:
    Project supported by the National Basic Research Program of China (Grant No~2006CB705500), the National Natural Science Foundation of China (Grant Nos~10532060, 10404025, 70601026 and 10672160) and the CAS special funding.

Extended speed gradient model for traffic flow on two-lane freeways

Tang Chang-Fu(汤昌福), Jiang Rui(姜锐), and Wu Qing-Song(吴清松)   

  1. School of Engineering Science, University of Science and Technology of China, Hefei 23006, China
  • Received:2006-09-15 Revised:2006-12-27 Online:2007-06-20 Published:2007-06-20
  • Supported by:
    Project supported by the National Basic Research Program of China (Grant No~2006CB705500), the National Natural Science Foundation of China (Grant Nos~10532060, 10404025, 70601026 and 10672160) and the CAS special funding.

摘要: In this paper, the speed gradient (SG) model is extended to describe the traffic flow on two-lane freeways. Terms related to lane change are added into the continuity equations and velocity dynamic equations. The empirically observed two-lane phenomena, such as lane usage inversion and lane change rate versus density, are reproduced by extended SG model. The local cluster effect is also investigated by numerical simulations.

Abstract: In this paper, the speed gradient (SG) model is extended to describe the traffic flow on two-lane freeways. Terms related to lane change are added into the continuity equations and velocity dynamic equations. The empirically observed two-lane phenomena, such as lane usage inversion and lane change rate versus density, are reproduced by extended SG model. The local cluster effect is also investigated by numerical simulations.

Key words: two-lane traffic, speed gradient model, lane usage inversion

中图分类号:  (Granular models of complex systems; traffic flow)

  • 45.70.Vn