Effect of signals on two-route traffic system with real-time information

Tobita, Kazuhiro; Nagatani, Takashi

doi:10.1016/j.physa.2012.07.022

Cited by 50 publications

(5 citation statements)

References 27 publications

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“…Wahle et al have proposed the dynamic model for two-route traffic flow with real-time information [41]. The traffic flow with real-time traffic information has been studied using a route choice scenario [42][43][44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Complex motion induced by elevator choice in peak traffic

Nagatani

2015

Physica A: Statistical Mechanics and its Applications

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Section: Introductionmentioning

confidence: 99%

Complex motion induced by elevator choice in peak traffic

Nagatani

2015

Physica A: Statistical Mechanics and its Applications

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“…TTFS, MVFS and CCFS were three typical information feedback strategies. Subsequently, many improved strategies were proposed based on the above three kinds of feedback strategies, for example, prediction feedback strategy [4], corresponding angle feedback strategy [5], weighted vehicle density feedback strategy (WVDFS) [6], mean velocity difference feedback strategy and congestion coefficient difference feedback strategy [7], vacancy length feedback strategy [8], flux feedback strategy including time flux feedback and space flux feedback [9], and exponential function feedback strategy [10], tour-time feedback strategy [11]. In addition, Zhao et al [12] introduced a bounded rational threshold into existing feedback strategies to improve their efficiency in terms of their capacity, oscillation, and deviations from the equilibrium.…”

Section: Introductionmentioning

confidence: 99%

Route Guidance Strategy for Heterogeneous Traffic Flow in an Asymmetric Two-Route Scenario

Liu¹,

Han²

2018

dtcse

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During serious emergencies or congestion, it is very important to alleviate road traffic congestion and improve the road capacity to reduce casualties. Most of the advanced route guidance strategies have been developed for homogeneous traffic flows, to reduce traffic congestion and enhance the road capacity in a symmetric multi-route scenario. Information guidance strategies have rarely been considered for heterogeneous traffic flows, including different types of vehicles with variable velocities and sizes in an asymmetric multi-route traffic system. In this study, we propose a weighted road occupancy feedback strategy (WROFS) for heterogeneous traffic flows including large vehicles and small vehicles, which considers the characteristics of different types of vehicles, such as, maximum speed, sizes and position, using real-time information feedback technology to guide traffic flow. Based on comparisons with the two previously proposed advanced strategies, the simulation results obtained in an asymmetric two-route traffic scenarios demonstrate that the proposed strategy improves the road capacity, balances traffic states on two routes, achieves better spatial distribution of traffic flow and enhances the stability of traffic flow about flux, average speed and the number of vehicles.

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“…To alleviate the congestion, route guidance strategies, which recommend optimal route for drivers, are receiving extensive attention (see e.g. Pavlis, 1999;Deflorio, 2000;Wahle et al, 2002;van den Berg et al, 2004;Hegyi, 2004;Liu and Chang, 2011;Nagatani and Naito, 2011;Tobita and Nagatani, 2012). Over the past decade, a variety of route guidance strategies has also been proposed and investigated in the field of physics, such as travel time feedback strategy (TTFS) (Wahle and Bazzan, 2000), mean velocity feedback strategy (MVFS) (Lee and Hui, 2001), congestion coefficient feedback strategy (CCFS) (Wang et al, 2005), prediction feedback strategy (PFS) (Dong et al, 2009), weighted congestion coefficient feedback strategy (WC-CFS) (Dong et al, 2010b), corresponding angle feedback strategy (CAFS) (Dong and Ma, 2010), vehicle number feedback strategy (VNFS) (Dong et al, 2010a), vacancy length feedback strategy (VLFS) (Chen et al, 2012), etc.…”

Section: Introductionmentioning

confidence: 99%

Route guidance strategies revisited: Comparison and evaluation in an asymmetric two-route traffic network

Chen

Jia

et al. 2014

Int. J. Mod. Phys. C

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To alleviate traffic congestion, a variety of route guidance strategies has been proposed for intelligent transportation systems. A number of the strategies are proposed and investigated on a symmetric two-route traffic system over the past decade. To evaluate the strategies in a more general scenario, this paper conducts eight prevalent strategies on a asymmetric two-route traffic network with different slowdown behaviors on alternative routes. The results show that only mean velocity feedback strategy is able to equalize travel time, i.e., approximate user optimality; while the others fail due to incapability of establishing relations between the feedback parameters and travel time. The paper helps better understand these strategies, and suggests mean velocity feedback strategy if the authority intends to achieve user optimality.Nowadays traffic congestion has been one of the most prevalent city dis-2 eases. To alleviate the congestion, route guidance strategies, which recom-3 mend optimal route for drivers, are receiving extensive attention (see e.g. 6 2012). Over the past decade, a variety of route guidance strategies has also 7 been proposed and investigated in the field of physics, such as travel time 8 feedback strategy (TTFS) (Wahle and Bazzan, 2000), mean velocity feed-9 back strategy (MVFS) (Lee and Hui, 2001), congestion coefficient feedback 10 strategy (CCFS) (Wang et al., 2005), prediction feedback strategy (PFS) 11 (Dong et al., 2009), weighted congestion coefficient feedback strategy (WC-12 CFS) (Dong et al., 2010b), corresponding angle feedback strategy (CAFS) 13 (Dong and Ma, 2010), vehicle number feedback strategy (VNFS) (Dong et al., 14 2010a), vacancy length feedback strategy (VLFS) (Chen et al., 2012), etc.15All these strategies are proposed and studied in a symmetric two-route traf-16 fic network first adopted in Wahle and Bazzan (2000). The remarkable fea-17 tures of the traffic system are not only the same configurations of alterna-18 tive routes, but also the same slowdown probability utilized in the employed 19 Nagel-Schrekenberg model, which reflects drivers' imperfect break behaviors. 20However, the slowdown probability pertaining to routes is not the same most 21 of time in reality due to different traffic conditions on alternative routes, such 22 as different road types, different percentages of trucks, etc. 23The paper is thus dedicated to evaluating the effectiveness of the exist-24 ing strategies in a more general asymmetric two-route network with different 25 slowdown probability on alternative routes. The research will help better un-26 derstand these strategies and provide implications for practical applications 27 of the strategies. Toward the end, the remainder of the paper is organized as 28 follows: section 2 briefly describes eight route guidance strategies revisited 29 in the paper; section 3 introduces the traffic flow model and the user opti-30 mality; section 4 compares and evaluates the performance of these strategies 31 in symmetric and asymmetric traffic systems; co...

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Effect of signals on two-route traffic system with real-time information

Cited by 50 publications

References 27 publications

Complex motion induced by elevator choice in peak traffic

Complex motion induced by elevator choice in peak traffic

Route Guidance Strategy for Heterogeneous Traffic Flow in an Asymmetric Two-Route Scenario

Route guidance strategies revisited: Comparison and evaluation in an asymmetric two-route traffic network

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