Modeling mechanical restriction differences between car and heavy truck in two-lane cellular automata traffic flow model

被引:47
作者
Li, Xin [1 ]
Li, Xingang [1 ]
Xiao, Yao [1 ]
Jia, Bin [1 ]
机构
[1] Beijing jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
Limited deceleration capability; Heterogeneous traffic flow; Active deceleration behavior; SPEED GRADIENT MODEL; MACRO MODEL; METASTABLE STATES; TRANSITION; BEHAVIOR; MITIGATION; VELOCITY; VEHICLES; WAVES;
D O I
10.1016/j.physa.2015.12.157
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Real traffic is heterogeneous with car and truck. Due to mechanical restrictions, the car and the truck have different limited deceleration capabilities, which are important factors in safety driving. This paper extends the single lane safety driving (SD) model with limited deceleration capability to two-lane SD model, in which car-truck heterogeneous traffic is considered. A car has a larger limited deceleration capability while a heavy truck has a smaller limited deceleration capability as a result of loaded goods. Then the safety driving conditions are different as the types of the following and the leading vehicles vary. In order to eliminate the well-known plug in heterogeneous two-lane traffic, it is assumed that heavy truck has active deceleration behavior when the heavy truck perceives the forming plug. The lane-changing decisions are also determined by the safety driving conditions. The fundamental diagram, spatiotemporal diagram, and lane-changing frequency were investigated to show the effect of mechanical restriction on heterogeneous traffic flow. It was shown that there would be still three traffic phases in heterogeneous traffic condition; the active deceleration of the heavy truck could well eliminate the plug; the lane-changing frequency was low in synchronized flow; the flow and velocity would decrease as the proportion of heavy truck grows or the limited deceleration capability of heavy truck drops; and the flow could be improved with lane control measures. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:49 / 62
页数:14
相关论文
共 62 条
[1]  
Aghabayk K., 2012, TRANSP RES BOARD 91
[2]   Attribute selection for modelling driver's car-following behaviour in heterogeneous congested traffic conditions [J].
Aghabayk, Kayvan ;
Sarvi, Majid ;
Young, William .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2014, 10 (05) :457-468
[3]   Understanding the Dynamics of Heavy Vehicle Interactions in Car-Following [J].
Aghabayk, Kayvan ;
Sarvi, Majid ;
Young, William .
JOURNAL OF TRANSPORTATION ENGINEERING, 2012, 138 (12) :1468-1475
[4]   Comparing Heavy Vehicle and Passenger Car Lane-Changing Maneuvers on Arterial Roads and Freeways [J].
Aghabayk, Kayvan ;
Moridpour, Sara ;
Young, William ;
Sarvi, Majid ;
Wang, Yi-Bing .
TRANSPORTATION RESEARCH RECORD, 2011, (2260) :94-101
[5]  
[Anonymous], 2012, PHYS TRAFFIC EMPIRIC
[6]  
[Anonymous], 1950, Osterreichisches Ingenieur Arch.
[7]  
[Anonymous], 2013, TRANSP RES BOARD 92
[8]   Metastable states in cellular automata for traffic flow [J].
Barlovic, R ;
Santen, L ;
Schadschneider, A ;
Schreckenberg, M .
EUROPEAN PHYSICAL JOURNAL B, 1998, 5 (03) :793-800
[9]  
Cafiso S., 2008, TRANSP RES BOARD 87
[10]   Influences of overtaking on two-lane traffic with signals [J].
Chen, Chen ;
Chen, Jianqiao ;
Guo, Xiwei .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (01) :141-148