The impact of road traffic congestion on supply chains: insights from Auckland, New Zealand

2005 ◽  
Vol 8 (2) ◽  
pp. 159-180 ◽  
Author(s):  
Jayaram K. Sankaran ◽  
Amanda Gore ◽  
Baz Coldwell
Keyword(s):  
New Zealand ◽  
Supply Chains ◽  
Traffic Congestion ◽  
Road Traffic ◽  
The Impact ◽  
Road Traffic Congestion

scholarly journals TRAFFIC CONGESTIONS, TIME SPENT AT THE EXPRESSWAY JUNCTIONS, AND ITS IMPACT ON INDIVIDUAL PRODUCTIVITY: A PERCEPTION STUDY OF ILESA-OWO-BENIN EXPRESSWAY IN AKURE ONDO STATE, NIGERIA

2021 ◽  
Vol 19 ◽  
Author(s):  
Omotayo Fatai Ogunyemi ◽  
Diana Mohamad ◽  
Nurwati Badarulzaman ◽  
Abdul Ghapar Othman
Keyword(s):  
Traffic Congestion ◽  
Questionnaire Survey ◽  
Road Traffic ◽  
Congestion Management ◽  
Road Users ◽  
It Impacts ◽  
Individual Productivity ◽  
Ondo State ◽  
The Impact ◽  
Road Traffic Congestion

The importance of the free flow of traffic, time spent in traffic at junctions, and individual productivity of road users along the Ilesa-Owo-Benin expressway in Akure Ondo State, Nigeria, cannot be overstated. While extant literature has shown that traffic congestion on roads significantly influences how road users perform their duties, few studies have explored the part played by the length of time they spend at junctions and how it impacts individual productivity. We collected data using a Questionnaire survey, comprising questions associated with traffic congestion at junctions of 203 respondents from across the residents (and travellers through Agbogbo/Irese/Futa junctions along Ilesa-Owo-Benin expressway in Akure). With an analysis of variance (ANOVA), we identified the differences in road users' perception of traffic congestions at junctions. We investigated the impact of traffic congestion on the productivity of road users. Finally, we identified potential solutions to the persistent traffic congestion experienced at the junctions. This paper offers a traffic congestion community with a better understanding of traffic congestions on road networks and aid in developing suitable methods and policies for road traffic congestion management.

scholarly journals Road Traffic Congestion Management Based on a Search-Allocation Approach

2017 ◽  
Vol 18 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Jamal Raiyn
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Self Regulation ◽  
Congestion Management ◽  
Shortest Route ◽  
Road Traffic Congestion

Abstract This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA). An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT) technologies.

scholarly journals V2V-based method for the detection of road traffic congestion

2019 ◽  
Vol 13 (5) ◽  
pp. 880-885 ◽  
Author(s):  
Runmin Wang ◽  
Zhigang Xu ◽  
Xiangmo Zhao ◽  
Jinchao Hu
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Road Traffic Congestion

Reliability-based preventive maintenance strategies of road junction systems

2019 ◽  
Vol 36 (5) ◽  
pp. 752-781 ◽  
Author(s):  
Kong Fah Tee ◽  
Ejiroghene Ekpiwhre
Keyword(s):  
Preventive Maintenance ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Case Based Reasoning ◽  
Time Data ◽  
Accident Rate ◽  
Content Type ◽  
Network Maintenance ◽  
Road Traffic Congestion ◽  
Road Junction

PurposeThe purpose of this paper is to present a study of reliability-centred maintenance (RCM), which is conducted on the key sub-assets of a newly constructed road junction infrastructure in Nigeria.Design/methodology/approachThe classical RCM methodology, a type of RCM, which has a top down, zero-based approach for maintenance analysis, is implemented in this study.FindingsThe implementation of the classical RCM is successful in its application of various PM policies assigned to the assets and it shows that its application in the highway industry could reduce excessive maintenance backlog and frequent reactive maintenance by effective optimisation of its preventive maintenance (PM) intervals.Practical implicationsRoad junctions are originators of more than 70 per cent of road traffic congestion and account for high accident rate. The traditional methods of reliability assurance used in the highway industry such as reactive maintenance and routine maintenance are often inadequate to meet the round the clock usage demands of these assets, thus the consideration for the application of a systematic RCM process for maintaining the system function by selecting and applying effective PM tasks.Originality/valueIt uses an approach that critically develops and analyses thoroughly preventive and continuous maintenance strategy in a new circumstance with environment of uncertainty and limited operating data. The case-based reasoning cycle has been applied in the RCM approach with real-time data obtained from a UK-based network maintenance management system for highway infrastructures.

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