Traffic wave

About: Traffic wave is a research topic. Over the lifetime, 2106 publications have been published within this topic receiving 62117 citations. The topic is also known as: phantom traffic jam & ghost jams.

Traffic control method, control center and on-board communication device

Abstract: PROBLEM TO BE SOLVED: To reduce wait congestion at a traffic signal by obtaining the travel direction of vehicles in an intersection in real time in real circumstances. SOLUTION: The traffic control center 100 can obtain direction indicator information from an on-vehicle communication device mounted on a vehicle approaching an intersection in real time in real circumstances. In addition, the traffic control center 100 controls the lengths of read and blue signals of traffic signals 120 and 122 according to the received direction indicator information and position information, so wait congestion of vehicles corresponding to the traffic signals 120 and 122 is reducible. COPYRIGHT: (C)2004,JPO

Time-dependent analysis of mobile communication traffic in a ring-shaped service area with nonuniform vehicle distribution

Abstract: A method of analysis for modeling cellular telephone systems which incorporates vehicular traffic theory into the model is introduced. By obtaining position- and time-dependent vehicle density data, it is possible to investigate the behavior of communication traffic for any type of road traffic. The method allows car movement in both directions on the highway to be considered. However, situations in which one direction carries such an intense load that the other may be ignored are treated, and a simplified model with enough information to examine worst-case scenarios is developed. Simulation and analysis results are presented. >

A novel method based on VANET for alleviating traffic congestion in urban transportations

Abstract: The traffic congestion frequently occurs in urban transportations. In order to alleviate the traffic congestion, the vehicle information and communication system (VICS) has been developed. However, since each vehicle can obtain global information on traffic congestion using VICS, all vehicles in the congested areas tend to move to non-congested areas. As a result, the non-congested areas become congested areas. To avoid such the oscillation between the congested and non-congested areas, this paper proposes a novel method based on the vehicle ad hoc network (VANET) for alleviating traffic congestion in urban transportations. In the proposed method, since each vehicle independently collects local information on traffic congestion using VANET, traffic can be distributed from congested areas to non-congested areas. Through simulation experiments, this paper shows that the proposed method provides faster velocity and shorter trip time than VICS in the environments that traffic varies temporally and spatially, which occur in urban transportations.

Impacts of variable message signs on traffic congestion

Abstract: The variable message signs (VMS) have been widely used in guiding and managing the dynamic traffic with development of intelligent transportation technologies. It is known that cell transmission model (CTM) can well reproduce such traffic dynamics as shock waves and jams. This paper presents a new method to estimate the route travel times by using the CTM in conjunction with a logit-based route choice rule. The impacts of VMS on a two-route scenario with recurrent and non-recurrent traffic congestion are numerically investigated by analyzing the changes of route flow and travel time. Simulation results show that in networks with suitable long links, the VMS can positively influence travelers’ decision making so as to improve the system performance. For non-recurrent congestion, the value space of the route choice parameter that affects the flow distribution between two routes is narrower in the case of high traffic demand than that in the low demand case.