From user equilibrium to system optimum: a literature review on the role of travel information, bounded rationality and non-selfish behaviour at the network and individual levels

Essen, Mariska van; Thomas, Tom; Berkum, Eric C. van; Chorus, Caspar

doi:10.1080/01441647.2015.1125399

Cited by 57 publications

(26 citation statements)

References 109 publications

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“…Notably, since road network capacity is limited and insufficient, especially during peak-demand periods, travel times on the shortest routes increase (equation (2)) and drivers seek for more efficient paths. Such adaptive procedure is well represented within the User Equilibrium model (equation (1)), which is broadly defined in the literature; for recent review, we refer to [40].…”

Section: Methodsmentioning

confidence: 99%

Lewis–Mogridge Points: A Nonarbitrary Method to Include Induced Traffic in Cost-Benefit Analyses

Kucharski

Paszkowski

Szarata

2020

Journal of Advanced Transportation

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We propose a new method to estimate benefits of road network improvements, which allows to include the induced demand without arbitrary assumptions. Instead of estimating induced demand (which is nontrivial and hardly possible in practice), we search for demand induction where initial benefits are mitigated to zero. Such approach allows to formulate a dual measure of benefit, covering both the potential benefits and the likelihood of consuming them by the induced traffic. We first estimate benefits of road network improvement assuming that traffic demand is fixed. Consequently, we find demand model configurations at which the benefits of the new investment become null, i.e., all the initial benefits are consumed by the traffic demand growth. We call such states of induced demand the Lewis–Mogridge points of the analysed improvement. We select the most probable of such points and use it to calculate the proposed novel indicator μ, for which the initial benefits (obtained under a fixed-demand assumption) are multiplied with a demand increase rate needed to consume them. We believe that such measure allows to include the critical phenomena of induced traffic and, at the same time, to overcome problems associated with reliable estimation of induced demand. As we illustrate with the case of two alternative road improvement schemes in Kraków, Poland, the proposed method allows to estimate maximal threshold of induced traffic and to select scenario more resilient to induced traffic.

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Section: Methodsmentioning

confidence: 99%

Lewis–Mogridge Points: A Nonarbitrary Method to Include Induced Traffic in Cost-Benefit Analyses

Kucharski

Paszkowski

Szarata

2020

Journal of Advanced Transportation

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“…As observed by Fonzone (2015) and Fonzone, Schmöcker, and Viti (2016), RTI provision increases the dynamics of passenger choice strategies, expands the set of travel alternatives, induces new decision-making objectives and increases the probability of en-route choice shifts. RTI solutions are widely expected to improve travel conditions as they can help shift the network from user equilibrium towards the optimum state (van Essen et al 2016). The effects of RTI on travel times -a widespread solution in PT systems worldwide -were shown in agent-based PT assignment models (Cats et al 2011;Fonzone and Schmöcker 2014) to have a potentially significant impact upon route choice and output travel utility in different scenarios.…”

Section: Real-time Crowding Informationmentioning

confidence: 99%

Modelling the effects of real-time crowding information in urban public transport systems

Kucharski

Cats

Szarata

2020

Transportmetrica A: Transport Science

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Public transport (PT) overcrowding is a notorious problem in urban transport networks. Its negative effects upon travel experience can be potentially addressed by disseminating real-time crowding information (RTCI) to passengers. However, impacts of RTCI provision in urban PT networks remain largely unknown. This study aims to contribute by developing an extended dynamic PT simulation model that enables a thorough analysis of instantaneous RTCI consequences. In the model, RTCI is generated and disseminated across the network, and then utilised in passengers' sequential en-route choices. A case-study demonstration of the RTCI algorithm on urban PT network model of Kraków (Poland) shows that instantaneous RTCI has the potential to improve passengers' travel experience, although it is also susceptible to inaccuracy. RTCI provision can yield total travel utility improvements of 3% in typical PM peak-hour, with reduced impacts of the worst overcrowding effects (in terms of denied-boarding and in-vehicle travel disutility in overcrowded conditions) of 30%. Highlights: • Real-time crowding information (RTCI) is an increasingly feasible solution in public transport. • We introduce a novel framework for modelling the network effects of instantaneous RTCI. • Instantaneous RTCI can result in improved travel experience but also substantial inaccuracy risk. • Reduced impacts of the worst overcrowding experience amount to up to 30%.

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“…With the proliferation of vehicle navigation systems and smartphones, each individual can easily acquire the traffic information, which would affect the route selection [45]- [49]. Essen et al insisted that considering both the user behavior and the system performance was important to evaluate how the traffic information notified to users would affect the traffic congestion [45]. To alleviate congestion, Hassan et al proposed a distributed traffic coordination scheme based on the travel information exchanged through the driver's social network [46].…”

Section: Related Workmentioning

confidence: 99%

Selfish Yet Optimal Routing by Adjusting Perceived Traffic Information of Road Networks

Hara

Sasabe

Kasahara

2020

IEEE Open J. Intell. Transp. Syst.

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Traffic congestion in urban areas causes economic and time loss. Such traffic congestion is caused by selfish routing where users aim to minimize their own travel time. Even if a navigation system provides them with recommended routes, they may not follow the routes, due to dissatisfaction with the expected travel time. In this paper, inspired by the concept of "Nudge," we propose "selfish yet optimal routing," where all users rationally aim to minimize their own travel time but social optimal routing emerges from such selfish routing by adjusting their perceived traffic information appropriately. We propose a scheme to derive nudging traffic information that fills the gap between selfish routing criterion and altruistic one by internalizing the marginal cost into the perceived traffic information. Users will conduct the selfish routing under their perceived traffic information, which unconsciously results in the optimal routing. Through numerical experiments using both the artificial road network and the real one, we show that the proposed scheme achieves almost the same performance compared with the optimal routing. In addition, the proposed scheme reduces the average travel time by 19.1% compared with notification of actual traffic information, in case of the central-area road network of Nagoya city, Japan.

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From user equilibrium to system optimum: a literature review on the role of travel information, bounded rationality and non-selfish behaviour at the network and individual levels

Cited by 57 publications

References 109 publications

Lewis–Mogridge Points: A Nonarbitrary Method to Include Induced Traffic in Cost-Benefit Analyses

Lewis–Mogridge Points: A Nonarbitrary Method to Include Induced Traffic in Cost-Benefit Analyses

Modelling the effects of real-time crowding information in urban public transport systems

Selfish Yet Optimal Routing by Adjusting Perceived Traffic Information of Road Networks

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