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Article
Publication date: 31 December 2020

Vishal Pradhan and Sonali Bhattacharya

Researchers have studied processes of improving road traffic-safety culture by explicitly evaluating the socio-psychological phenomenon of traffic-risk. The implicit…

Abstract

Purpose

Researchers have studied processes of improving road traffic-safety culture by explicitly evaluating the socio-psychological phenomenon of traffic-risk. The implicit traffic-system cues play an important role in explaining urban traffic-culture. This paper aims to ascertain an interpretive framework of the alternative processes of road traffic safety culture is antecedent to promote traffic-safety behaviour in Indian urban context. Subsequently, the authors discussed the reasons for those relationships exists.

Design/methodology/approach

Four experts of the urban traffic-safety domain participated in total interpretive structural modelling (TISM) study by completing an interpretive consensus-driven questionnaire. The drafted interpretive model was evaluated for road users proactive action orientation about the traffic-safety decision.

Findings

The evolved directed graph (digraph) of the culture of urban traffic-safety management was a serial three-mediator model. The model argued: In the presence of traffic-risk cues, people may become apprised to safety goals that initiate traffic-safety action. Consequently, expectancy-value evaluation motivates the continuation of traffic-safety intention that may lead to the implementation of adaptation plan (volitional control), thus habituating road users to traffic-safety management choice.

Practical implications

The modellers of traffic psychology may empirically estimate and test for the quality criteria to ascertain the applicability of the proposed mechanism of urban traffic-safety culture. The decision-makers should note the importance of arousal of emotions regarding traffic-risk, reduce the impact of maladaptive motivations and recursively improve control over safety actions for promoting safety interventions.

Originality/value

The authors attempted to induce an interpretive model of urban traffic-safety culture that might augment extant discussion regarding how and why people behave in an urban traffic system.

Details

International Journal of Innovation Science, vol. 13 no. 1
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 4 December 2020

Liang Chen, Prathik Anandhan and Balamurugan S.

In this paper, an intelligent information assisted communication transportation framework (II-CTF) has been introduced to reduce congestion, data reliability in…

Abstract

Purpose

In this paper, an intelligent information assisted communication transportation framework (II-CTF) has been introduced to reduce congestion, data reliability in transportation and the environmental effects.

Design/methodology/approach

The main concern of II-CTF is to mitigate public congestion using current transport services, which helps to improve data reliability under hazardous circumstances and to avoid accidents when the driver cannot respond reasonably. The program uses machine learning assistance to predict optimal routes based on movement patterns and categorization of vehicles, which helps to minimize congestion of traffic.

Findings

In II-CTF, scheduling traffic optimization helps to reduce the energy and many challenges faced by traffic managers in terms of optimization of the route, average waiting time and congestion of traffic, travel, and environmental impact due to heavy traffic collision.

Originality/value

The II-CTF definition is supposed to attempt to overcome some of the problems of the transportation environment that pose difficulties and make the carriage simpler, safer, more efficient and green for all.

Details

The Electronic Library , vol. 38 no. 5/6
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 13 February 2009

Xiaolu Zhou, Ruhe Xie, Xizhou Zhang, Cheng Wang and Xuemou Wu

The purpose of this paper is to develop pansystems‐styled traffics, logistics and knowledge rediscovery. The core logoi are the generalized resources//F* and their…

2482

Abstract

Purpose

The purpose of this paper is to develop pansystems‐styled traffics, logistics and knowledge rediscovery. The core logoi are the generalized resources//F* and their circulation//C*. The research presents a new outlook to mathematics, physics, traffic, communication, logistics, KD, internet, computer, translation, simulation, information, life‐systems, logic or reasoning, memory or storage, process, transaction, finance, education, inherent, topology, evolution, etc. and then certain mechanism among them and related mutuality can be unveiled.

Design/methodology/approach

A flexible combination of philosophy, mathematics and technology is embodied. The paper is an application of pansystems methodology to approach the following topics: pansystems resource, circulation: traffics, logistics and KD; pansystems variational principle and pan‐circulation; pansystems logistics; pansystems network, supply chain and bullwhip effect; pansystems innovation and knowledge rediscovery.

Findings

All of the topics concerned are reduced to the actualization of pansystems variational OR and classification‐repetition‐PanOR, which possess a transfield nature.

Originality/value

This paper provides the framework and concretion principles of pansystems research on traffics, logistics, supply chain, bullwhip effect, innovation and related applications, and presents a new world outlook, which leads to some new comprehension to KD and WHF* <world*history*future*>, SEM* <society* economy*management*>.

Details

Kybernetes, vol. 38 no. 1/2
Type: Research Article
ISSN: 0368-492X

Keywords

Book part
Publication date: 2 October 2001

Ray Brindle

Abstract

Details

Handbook of Transport Systems and Traffic Control
Type: Book
ISBN: 978-1-61-583246-0

Book part
Publication date: 18 April 2018

Mohamed Abdel-Aty, Qi Shi, Anurag Pande and Rongjie Yu

Purpose – This chapter provides details of research that attempts to relate traffic operational conditions on uninterrupted flow facilities (e.g., freeways and…

Abstract

Purpose – This chapter provides details of research that attempts to relate traffic operational conditions on uninterrupted flow facilities (e.g., freeways and expressways) with real-time crash likelihood. Unlike incident detection, the purpose of this line of work is to proactively assess crash likelihood and potentially reduce the likelihood through proactive traffic management techniques, including variable speed limit and ramp metering among others.

Methodology – The chapter distinguishes between the traditional aggregate crash frequency-based approach to safety evaluation and the approach needed for real-time crash risk estimation. Key references from the literature are summarised in terms of the reported effect of different traffic characteristics that can be derived in near real-time, including average speed, temporal variation in speed, volume and lane-occupancy, on crash occurrence.

FindingsTraffic and weather parameters are among the real-time crash-contributing factors. Among the most significant traffic parameters is speed particularly in the form of coefficient of variation of speed.

Research implications – In the traffic safety field, traditional data sources are infrastructure-based traffic detection systems. In the future, if automatic traffic detection systems could provide reliable data at the vehicle level, new variables such as headway could be introduced. Transferability of real-time crash prediction models is also of interest. Also, the potential effects of different management strategies to reduce real-time crash risk could be evaluated in a simulation environment.

Practical implications – This line of research has been at the forefront of bringing data mining and other machine-learning techniques into the traffic management arena. We expect these analysis techniques to play a more important role in real-time traffic management, not just for safety evaluation but also for congestion pricing and alternate routing.

Details

Safe Mobility: Challenges, Methodology and Solutions
Type: Book
ISBN: 978-1-78635-223-1

Keywords

Article
Publication date: 2 November 2012

Nicole Adler, Alfred Shalom Hakkert, Jonathan Kornbluth and Mali Sher

The purpose of this paper is to study the traffic‐police enforcement process and develop models to improve enforcement effectiveness given substantial budgetary and…

1953

Abstract

Purpose

The purpose of this paper is to study the traffic‐police enforcement process and develop models to improve enforcement effectiveness given substantial budgetary and resource constraints.

Design/methodology/approach

The formulation crosses the concepts of lean manufacturing and linear programming. Traffic police officers, automated machines and the back‐office are modeled in a similar manner to that of a manufacturing plant, working together to achieve ticket production as a function of quantity and quality, based on a preferential ranking of offence types.

Findings

Using data from the Israeli traffic police over a six‐year period, the case study shows that given available resources, it is possible to retain ticket quantity whilst significantly improving ticket quality as defined in the road safety literature. The case study shows a 24 per cent increase in quality ticket processing whilst taking into account the court summons constraint and maintaining throughput levels. This draws from changes in the method of ticket‐production, production of warnings rather than tickets in certain cases and the application of new technologies.

Research limitations/implications

The results are limited by the current lack of data and require a cost‐benefit analysis in order to further develop certain parameters.

Practical implications

The application of the approach improves the holistic planning of traffic enforcement activities as well as providing specific details, such as the number and distribution of ticket production.

Originality/value

This research merges three disciplines; operations research, road safety and operations management, generating a methodology for the planning and control of traffic police ticket issuance, which has not been analyzed in the literature to date.

Details

Policing: An International Journal of Police Strategies & Management, vol. 35 no. 4
Type: Research Article
ISSN: 1363-951X

Keywords

Abstract

Details

Transport Science and Technology
Type: Book
ISBN: 978-0-08-044707-0

Open Access
Article
Publication date: 25 August 2021

Weiwei Zhu, Jinglin Wu, Ting Fu, Junhua Wang, Jie Zhang and Qiangqiang Shangguan

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of…

Abstract

Purpose

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of great importance for traffic incident management. Previous studies have proposed models for traffic incident duration prediction; however, most of these studies focus on the total duration and could not update prediction results in real-time. From a traveler’s perspective, the relevant factor is the residual duration of the impact of the traffic incident. Besides, few (if any) studies have used dynamic traffic flow parameters in the prediction models. This paper aims to propose a framework to fill these gaps.

Design/methodology/approach

This paper proposes a framework based on the multi-layer perception (MLP) and long short-term memory (LSTM) model. The proposed methodology integrates traffic incident-related factors and real-time traffic flow parameters to predict the residual traffic incident duration. To validate the effectiveness of the framework, traffic incident data and traffic flow data from Shanghai Zhonghuan Expressway are used for modeling training and testing.

Findings

Results show that the model with 30-min time window and taking both traffic volume and speed as inputs performed best. The area under the curve values exceed 0.85 and the prediction accuracies exceed 0.75. These indicators demonstrated that the model is appropriate for this study context. The model provides new insights into traffic incident duration prediction.

Research limitations/implications

The incident samples applied by this study might not be enough and the variables are not abundant. The number of injuries and casualties, more detailed description of the incident location and other variables are expected to be used to characterize the traffic incident comprehensively. The framework needs to be further validated through a sufficiently large number of variables and locations.

Practical implications

The framework can help reduce the impacts of incidents on the safety of efficiency of road traffic once implemented in intelligent transport system and traffic management systems in future practical applications.

Originality/value

This study uses two artificial neural network methods, MLP and LSTM, to establish a framework aiming at providing accurate and time-efficient information on traffic incident duration in the future for transportation operators and travelers. This study will contribute to the deployment of emergency management and urban traffic navigation planning.

Details

Journal of Intelligent and Connected Vehicles, vol. 4 no. 2
Type: Research Article
ISSN: 2399-9802

Keywords

Case study
Publication date: 17 October 2012

Japhet Gabriel Mbura

This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.

Abstract

Subject area

This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.

Study level/applicability

The case study can be used in both undergraduate and postgraduate levels. Students pursuing Master of Science in Logistics, Supply Chain Management and those doing bachelor degrees in the same areas can have a better insight and special interest of the case. Professional boards may also use the case to empirically make students understand this area.

Case overview

The railway sub-sector in East Africa – Tanzania in particular – is an important transport mode but has a declining performance. The market share is estimated at only 4 percent of the freight market. Still knowledge about traffic, particularly for freight, is scant. The main dilemma is whether traffic of the central corridor is more intra- or inter-Tanzania. The case studies techniques appropriate for meaningful traffic forecasting and through a simple regression model it resolves the freight conflicts between Kenya rail and the Central Corridor. It provides students with applied traffic forecasting tools.

Expected learning outcomes

The case focuses on techniques of traffic forecasting, development of traffic scenarios and on issues related to intermodal transport especially between road, rail and ocean. At the end of using this Case students should be able to: explain the methods, techniques and models used in traffic forecasting; understand intermodal linkages in international Logistics; use different approaches to make logistics market assessment; and forecast traffic in all modes using different scenarios.

Supplementary materials

Teaching notes are available for educators only. Please contact your library to gain login details or e-mail support@emeraldinsight.com to request teaching notes.

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