Traffic Data Characterization for Road Rehabilitation: A Case Study of the Korogwe-Mombo Road Section in Tanzania

Author(s):  
Julius J. Komba ◽  
Mussa Mataka ◽  
John T. Malisa ◽  
Lubinda F. Walubita ◽  
James W. Maina
Keyword(s):  
2018 ◽  
Vol 47 (3) ◽  
pp. 20180072 ◽  
Author(s):  
Julius J. Komba ◽  
Mussa Mataka ◽  
John T. Malisa ◽  
Lubinda F. Walubita ◽  
James W. Maina
Keyword(s):  

2019 ◽  
Vol 9 (20) ◽  
pp. 4406
Author(s):  
Seongkwan Lee ◽  
Amr Shokri ◽  
Abdullah Al-Mansour

Riyadh, the capital of Saudi Arabia, suffers from traffic congestion like other modern societies, during peak hours but also all day long, even without any incidents. To solve this horrible traffic congestion problem, various efforts have been made from the Active Traffic Management (ATM) aspect. Ramp metering (RM) is one of the representative methods of the ATM and has already proven its value in many locations worldwide. Unfortunately, RM has not yet been fully implemented in Saudi Arabia. This research aimed to assess the applicability of RM to a freeway in Riyadh using microsimulation. The widely known software VISSIM (PTV Planung Transport Verkehr AG, Germany, 1992) was chosen to compare the performances of various RM operating scenarios, such as fixedtime operation with different sub-scenarios and traffic-responsive operation using ALINEA (Asservissement Lineaire d’entree Autoroutiere) algorithm. For the simulations, this study targeted Makkah Road, one of the major freeways in Riyadh, and collected geometrical data and traffic data from that freeway. Analysis of four main scenarios and eight sub-scenarios, proved that overall performance of the fixed-time RM operation is generally good. The sub-scenario 4V3R of the fixed-time RM operation was the best in average queue length reduction. However, the traffic-responsive operation was best in average speed improvement.


10.5109/10093 ◽  
2008 ◽  
Vol 53 (1) ◽  
pp. 201-207
Author(s):  
Bimala Devi Devkota ◽  
Hiroshi Omura ◽  
Tetsuya Kubota ◽  
Paudel Prem P. ◽  
Hasnawir

2020 ◽  
Author(s):  
Marta Catillo ◽  
Antonio Pecchia ◽  
Massimiliano Rak ◽  
Umberto Villano
Keyword(s):  

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Adrian Fazekas ◽  
Friederike Hennecke ◽  
Eszter Kalló ◽  
Markus Oeser

The development of surrogate safety measures has drawn significant research interest in the field of traffic safety analysis. Innovative data sources such as video-based traffic surveillance systems have made it possible to collect large amounts of microscopic traffic data. By deriving traffic safety indicators such as the Deceleration Rate to Avoid a Crash (DRAC) statements concerning traffic safety over a determined road section can be made. This work presents the derivation of a novel surrogate safety indicator based on a Constant Initial Acceleration and reaction time assumption which considers the interaction between vehicles and describes the traffic safety of a road section. The evaluation is based on a video-based microscopic traffic data collection. To examine the efficiency, the new developed indicator is compared to the original Deceleration Rate to Avoid a Crash (DRAC) and the modified indicator (MDRAC) which includes the reaction time. The results showed that the new indicator is more sensitive in detecting critical situations than the other indicators and in addition describes the conflict situations more realistically.


2020 ◽  
Vol 17 ◽  
pp. 184-195
Author(s):  
Santosh Poudel ◽  
Bishal Prasad Devkota ◽  
Babu Ram Lamichhane ◽  
Suman Bhattarai ◽  
Pratikshya Dahal ◽  
...  

Natural areas are increasingly fragmented and degraded globally due to increasing anthropogenic pressure. Linear infrastructures such as roads, railways, canals, and transmission lines are major causes for such fragmentation resulting in population isolation, habitat connectivity loss, and gene pool shrinkage. Various mitigation measures are adopted to minimize such effects. The first such mitigation measure (an underpass) has been constructed along the Narayanghat – Ramnagar, and Ramnagar – Jugedi section of the Narayanghat-Muglinroad (section connecting two national highways; Prithvi and Mahendra highway). The effectiveness of these underpasses was assessed using a camera trap picture of wildlife movement during March and April 2019. Key informant interviews (n=14) were also carried out to understand the abundance of recorded species in the local forest. With 37 trap nights of sampling effort, seven mammalian species were recorded and among them, wild boar was found with the highest independent images (35). A total of 31 independent images (70.4 %) captured during the night hours showed that manmade underpasses were used more during the night. Confirmation of usages of these underpasses supports the study to indicate the necessities of underpasses while constructing roads that pass and traverse the wildlife habitat.


Neutron ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 51-61
Author(s):  
Junizia Elsa De Almeida ◽  
Koespiadi

The road network is a land transportation infrastructure that plays an important role in the transportation sector, especially for the balance of the distribution of goods and services, both from other regions. In this study, an analysis was conducted to find out how the influence of heavy vehicle volume increase on the service life of the road, while the method used was Bina Marga, the study was conducted by taking a case study on the Hera road section until Dili. This research is expected to find out how the service life of the road if the volume of heavy vehicles continues to increase. If the% of heavy vehicles increases, the thickness of the required surface layer will also be even greater. When% of vehicles or carrying heavy traffic loads are increased, the thickness of the existing layer cannot meet, because the calculation results with% of heavy vehicles increase by 10%, surface thickness 17.2 cm / This will cause the service life of the road to decrease because it is confirmed that the road will be damaged before the service period ends due to excessive load increase in heavy vehicles.


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