A stochastic traffic assignment model for road network with travel time information via variable message signs

Lam, William H. K.; Chan, KS

doi:10.1109/ivs.1996.566360

Cited by 8 publications

(7 citation statements)

References 3 publications

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“…The impact of variable message signs (VMS) on traffic performance has been assessed in many studies (Lam and Chan, 1996;Mammar et al, 1996;Chatterjee et al, 2002;Chen et al, 2008;Wei et al, 2009). Although the impact varies in different contexts (urban/extra urban, incident management/congestion mitigation), most of these studies conclude that variable message signs have a great potential to influence route choice, and hence traffic performance.…”

Section: Literature Review On Vmsmentioning

confidence: 99%

Day-to-day dynamic traffic assignment model with variable message signs and endogenous user compliance

Han,

Lascia,

North

et al. 2018

Preprint

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This paper proposes a dual-time-scale, day-to-day dynamic traffic assignment model that takes into account variable message signs (VMS) and its interactions with drivers' travel choices and adaptive learning processes. The within-day dynamic is captured by a dynamic network loading problem with en route update of path choices influenced by the VMS; the day-to-day dynamic is captured by a simultaneous route-and-departure-time adjustment process that employs bounded user rationality. Moreover, we describe the evolution of the VMS compliance rate by modeling drivers' learning processes. We endogenize traffic dynamics, route and departure time choices, travel delays, and VMS compliance, and thereby captur their interactions and interdependencies in a holistic manner. A case study in the west end of Glasgow is carried out to understand the impact of VMS has on road congestion and route choices in both the short and long run. Our main findings include an adverse effect of the VMS on the network performance in the long run (the "rebound" effect), and existence of an equilibrium state where both traffic and VMS compliance are stabilized.

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Section: Literature Review On Vmsmentioning

confidence: 99%

Day-to-day dynamic traffic assignment model with variable message signs and endogenous user compliance

Han,

Lascia,

North

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…There are many studies to assess the impacts of VMS on traffic performance. The work in [42] proposes a time-varying traffic assignment model with travel time information relayed by VMS so as to examine the effectiveness of VMS, and [43] employs three questionnaires to examine the impacts of VMS information. In addition, the work in [44] develops a simulation model via VISSIM to evaluate the effect of route guidance with and without VMS under common and serious congestion.…”

Section: Introductionmentioning

confidence: 99%

Resilience Analysis of Transport Networks by Combining Variable Message Signs With Agent-Based Day-to-Day Dynamic Learning

2020

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To date the resilience of transport networks has not been effectively modelled by taking into account the traffic dynamics along with individual drivers' learning process and irrational behaviours. This study proposes an agent-based day-today dynamic model with bounded rationality to capture traffic evolution and drivers' inertial behaviours when transport networks suffer from local capacity degradation, and variable message signs are incorporated into the proposed model to improve the resilience, which is indicated by the rapidity of recovering to a new approximation equilibrium after disruptions. We employ a small network as a numerical study to conduct resilience analysis, and variable message signs with different compliance rates are utilized to induce traffic flows for alternative routes when a given link of the network is subject to mild (25%), moderate (50%), severe (75%) capacity reduction. The results show that variable message signs can apparently improve the resilience of the network in most of cases, and a larger compliance rate of variable message signs does not necessarily lead to better rapidity of recovery for approximation equilibrium. This study may provide an insight into the resilience analysis and improvement of transport networks under different levels of disruptions, which fully takes into account the individual drivers' day-today learning process, behavioural inertial and the control mechanism of variable message signs with different compliance rates.

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“…The research undertaken on VMS so far has encompassed different work streams: estimation of the compliance rate (Ramsey and Luk 1997;Chatterjee et al 2002;Hoye 2011;Kattan et al 2011), impact on traffic performance (Chatterjee et al 2002;Lam and Chan 1991;Mammar et al 1996;Chen et al 2008;Wei et al 2009), credibility and understanding of VMS messages (Chatterjee et al 2002;Cummings 1994), and safety hazard associated to VMS (Hoye 2011). Very few studies have analysed the impact of VMS on emissions, and the majority of these (Hoye 2011;Schlaich 2010;Dia and Cottman 2006) focus on VMS as a tool to manage incidents rather than recurring congestion.…”

Section: Introductionmentioning

confidence: 99%

Impact of Traffic Management on Black Carbon Emissions: a Microsimulation Study

Mascia

Han

et al. 2016

Netw Spat Econ

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This paper investigates the effectiveness of traffic management tools, including traffic signal control and en-route navigation provided by variable message signs (VMS), in reducing traffic congestion and associated emissions of CO 2 , NO x , and black Netw Spat Econ (2017) Simulation results for a real road network located in West Glasgow suggest that these traffic management tools can bring a reduction in travel delay and BC emission respectively by up to 6 % and 3 % network wide. The improvement at local levels such as junctions or corridors can be more significant. However, our results also show that the potential benefits of such interventions are strongly dependent on a number of factors, including dynamic demand profile, VMS compliance rate, and fleet composition. Extensive discussion based on the simulation results as well as managerial insights are provided to support traffic network operation and control with environmental goals. The study described by this paper was conducted under the support of the FP7-funded CARBOTRAF project.

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A stochastic traffic assignment model for road network with travel time information via variable message signs

Cited by 8 publications

References 3 publications

Day-to-day dynamic traffic assignment model with variable message signs and endogenous user compliance

Day-to-day dynamic traffic assignment model with variable message signs and endogenous user compliance

Resilience Analysis of Transport Networks by Combining Variable Message Signs With Agent-Based Day-to-Day Dynamic Learning

Impact of Traffic Management on Black Carbon Emissions: a Microsimulation Study

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