The Prediction of Freeway Traffic Conditions for Logistics Systems

Wang, Wenke; Chen, Jeng-Chung; Wu, Yenchun Jim

doi:10.1109/access.2019.2943187

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…This MOOC allows users to take courses at more than 600 universities and is flexible with respect to time and location. Likewise, smart infrastructure can help residents travel more conveniently; in having access to more efficient transportation, residents' perceptions of convenience will again be enhanced [38]. For example, the infrastructure of China's Hive Express Cabinet, which is a 24-hour selfservice open platform that allows couriers using e-commerce logistics to provide the service of depositing parcels, can solve the problem of time-inconsistencies between recipients and deliveries and provide people with more convenient logistics services.…”

Section: A the Impact Of Perceived Smart City Development On Stress mentioning

confidence: 99%

Can Smart City Development Promote Residents’ Emotional Well-Being? Evidence From China

Lin

et al. 2020

IEEE Access

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The rapid development of smart cities has raised concerns about residents' emotional wellbeing (EWB). To enhance EWB when developing smart cities, policy-makers should take residents' perceptions and attitudes into account. How can residents' perceptions about smart city development help promote their EWB? In this paper, we constructed a comprehensive model to explore the effect mechanism of perceived smart city developments on residents' EWB by considering the factors of stress, convenience, and life satisfaction (LS). Using a sample of 428 urban residents in a Chinese smart city, the paper verified the conceptual model by using a structural equation model (SEM) analysis. The results showed that: (1) perceived smart public service (PSPS) can increase EWB by reducing stress; it can also increase EWB by the mechanism of improved LS, brought about by this reduced stress. Perceived smart infrastructure (PSI) will reduce EWB by increasing stress; it can also decrease EWB by the mechanism of reduced LS, brought about by increased stress. (2) Perceived smart public administration (PSPA), PSPS, PSI, and perceived smart environmental protection (PSEP) can enhance EWB via the mechanism of increasing convenience and thereby improving LS. (3) Finally, the statistically insignificant relationship between convenience and LS may be due to the interaction effect of stress and convenience, because the interaction term between convenience and stress has a significant effect on LS, resulting in four insignificant indirect effects involving PSPA, PSPS, PSI, PSEP and EWB vis-à-vis convenience. Overall, this paper contributes to crossdisciplinary research on residents' perceptions with respect to smart city development, and provides guidelines for governmental policy-making in the planning of smart cities.

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Section: A the Impact Of Perceived Smart City Development On Stress mentioning

confidence: 99%

Can Smart City Development Promote Residents’ Emotional Well-Being? Evidence From China

Lin

et al. 2020

IEEE Access

Self Cite

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“…In response to these challenges, scholars have scrutinized the factors influencing road impedance in diverse urban locales, probing the effects of traffic congestion, intersection density, and speed limit demarcations. For instance, Wang et al [7] employed discrete-time Markov chains and real-time traffic monitoring data to prognosticate the likelihood of traffic congestion and discern the ramifications of highway traffic on distribution. Xu et al [8], on the other hand, leveraged the Davidson road impedance function to compute transport durations.…”

Section: A Road Trafficmentioning

confidence: 99%

“…Consider, for instance, the sequential arrangement of integers (6,2,5,4,3,1,7,10,9,8) representing the order of customer points. Following the insertion of the distribution center in compliance with load and time window constraints, the resulting arrangement is (0,6,2,5,0,4,3,1,7,0,10,9,8,0).…”

Section: Algorithm Researchmentioning

confidence: 99%

Green Logistics Tram Charging and Path Optimization Considering Urban Impedance

Fu,

Xu,

Zhang

2024

IEEE Access

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The aim of this article is to investigate the optimization of electric vehicle charging and swapping for green logistics, as well as path planning considering urban impedance. We improved a road impedance function model suitable for urban road traffic in China to calculate the actual traffic time based on real-time traffic data and the intricate urban road environment. This model is then applied to address the delivery optimization problem. Furthermore, a robust computational approach is introduced to estimate battery degradation costs, accounting for environmental temperature and depth of discharge. The logistics delivery model is effectively tackled using genetic algorithms, and simulation results demonstrate the considerable advantages of electric vehicle swapping, effectively mitigating energy wastage and environmental pollution. Additionally, the integration of road impedance modeling for path optimization proves to significantly reduce logistics costs, time expenditures, and enhance logistics efficiency. A comprehensive sensitivity analysis is also conducted to elucidate the factors influencing electric vehicle battery degradation, revealing a direct correlation between higher temperatures, deeper discharge depth, and increased battery loss. The study underscores the paramount significance of this research for the development and optimization of urban green logistics systems.

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“…Furthermore, to improve mobility in large urban traffic systems, a two-level hierarchical model-based predictive control system was presented to improve the whole network’s performance under different traffic scenarios [ 15 ]. Moreover, to predict the probability of traffic congestion, discrete-time Markov chain and online traffic monitoring was used to optimize the vehicle routes as presented [ 16 ]. Additionally, the traffic signal control strategy proposed in [ 17 ] aimed to minimize the vehicle travel time and increase road safety based on implementing a macroscopic model for pedestrian–vehicle mixed-flow networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Osman

Zaki

Abdelsalam

2021

Sensors

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Vehicle-to-vehicle communication is a promising paradigm that enables all vehicles in the traffic road to communicate with each other to enhance traffic performance and increase road safety. Through vehicle-to-vehicle (V2V) communication, vehicles can understand the traffic conditions based on the information sent among vehicles on the road. Due to the potential delay caused by traffic jams, emergency vehicles may not be able to reach their destination in the required time, leading to severe losses. The case is more severe especially in developing countries where no emergency-vehicle-dedicated lanes are allocated. In this study, a new emergency vehicle route-clarifying strategy is proposed. The new clarifying strategy is based on vehicular traffic management in different interference medium scenarios. The proposed model aims, through V2V communication, to find the nearest vehicle with which to communicate. This vehicle plays an important role in reducing the travel time: as the emergency message is received, this vehicle will immediately communicate with all the neighboring vehicles on the road. Based on V2V communications, all the vehicles in the road will clear from the lane in the road for the emergency vehicle can safely reach its destination with the minimum possible travel time. The maximum distance between the emergency vehicle and the nearest vehicle was determined under different channel conditions. The proposed strategy applied an optimization technique to find the varied road traffic parameters. The proposed traffic management strategy was evaluated and examined through different assumptions and several simulation scenarios. The obtained results validated the effectiveness and the accuracy of the proposed model, and also indicated significant improvement in the network’s performance in terms of packet delivery ratio (PDR) and average end-to-end delay (E2E).

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The Prediction of Freeway Traffic Conditions for Logistics Systems

Cited by 6 publications

References 17 publications

Can Smart City Development Promote Residents’ Emotional Well-Being? Evidence From China

Can Smart City Development Promote Residents’ Emotional Well-Being? Evidence From China

Green Logistics Tram Charging and Path Optimization Considering Urban Impedance

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

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