scholarly journals Exploring Driver’s Response to Variable Road Pricing (VRP) Scheme: An Insight into Policy Implementation in Indonesia

2018 ◽  
Vol 5 (3) ◽  
pp. 425-438
Author(s):  
Yos Sunitiyoso ◽  
Fikri Hadiansyah ◽  
Shimaditya Nuraeni ◽  
Mila Jamila Khatun Badriyah

In the last few decades, road pricing scheme have been known to hold a central role in actualizing sustainable and integrated transport systems. Road pricing has been implemented in various forms and price structures in many cities in the world. Although the road pricing and price structures were generally designed based on the rational actor approach, some studies provided evidences that, in reality, drivers have bounded rationality. It can be argued that limited cognitive ability of drivers gave significant effect towards their decision. In developing countries like Indonesia, road pricing seems to be an alternative solution for traffic congestion problems. This research aims to explore the cognitive responses of drivers, particularly on their ways of making decision and learning, to complexity and variability of road pricing, and also to give valuable contribution to the government on making policy towards traffic issues. The initial results indicate that policy makers in Indonesia need to consider how drivers behave in response to road pricing scheme before implementing any road pricing policy. Moreover, multiple factors from the point of view of drivers (travel time, safety, comfort, etc.) should be taken into consideration as integral parts of the road pricing scheme design. Keywords:  driver behaviour, experiment, road pricing, road pricing policy

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tolesa Hundesa Muleta ◽  
Legesse Lemecha Obsu

In this paper, the analyses of traffic evolution on the road network of a roundabout having three entrances and three exiting legs are conducted from macroscopic point of view. The road networks of roundabouts are modeled as a merging and diverging types 1×2 and 2×1 junctions. To study traffic evolution at junction, two cases have been considered, namely, demand and supply limited cases. In each case, detailed mathematical analysis and numerical tests have been presented. The analysis in the case of demand limited showed that rarefaction wave fills the portion of the road network in time. In the contrary, in supply limited case, traffic congestion occurs at merging junctions and shock wave propagating back results in reducing the performance of a roundabout to control traffic dynamics. Also, we illustrate density and flux profiles versus space discretization at different time steps via numerical simulation with the help of Godunov scheme.


2019 ◽  
Vol 16 (154) ◽  
pp. 20190041 ◽  
Author(s):  
Jonathan Y. Suen ◽  
Saket Navlakha

Both engineered and biological transportation networks face trade-offs in their design. Network users desire to quickly get from one location in the network to another, whereas network planners need to minimize costs in building infrastructure. Here, we use the theory of Pareto optimality to study this design trade-off in the road networks of 101 cities, with wide-ranging population sizes, land areas and geographies. Using a simple one parameter trade-off function, we find that most cities lie near the Pareto front and are significantly closer to the front than expected by alternate design structures. To account for other optimization dimensions or constraints that may be important (e.g. traffic congestion, geography), we performed a higher-order Pareto optimality analysis and found that most cities analysed lie within a region of design space bounded by only four archetypal cities. The trade-offs studied here are also faced and well-optimized by two biological transport networks—neural arbors in the brain and branching architectures of plant shoots—suggesting similar design principles across some biological and engineered transport systems.


Author(s):  
Qiang Meng ◽  
Wei Xu ◽  
Hai Yang

This paper deals with a road-pricing scheme that aims at alleviating congestion phenomena or air and noise pollution in some areas of a transportation network in such a way that the volumes of traffic flow on entry links to these areas do not exceed their respective predetermined thresholds by levying appropriate tolls at these links. This paper begins to show that the road-pricing scheme is equivalent to a problem that determines optimal Lagrangian multipliers for a user equilibrium traffic assignment problem with link capacity constraints. It then proceeds to devise a novel trial-and-error procedure requiring observed traffic flows at the entry links only, to identify a solution for the road-pricing scheme when link travel time functions, origin–destination demand functions, and users’ value of travel time are unknown. The procedure is as follows. A trial on a set of given tolls is conducted, and then the resultant link flows are observed. According to these observed traffic flows, a new set of tolls for the next trial is adjusted by executing a simple projection operation. The trial-and-error procedure is, in fact, a variation of a gradient projection method for dual formulation of the traffic assignment problem, and its convergence can be guaranteed under mild conditions. Accordingly, a conjecture for the convergence of trial-and-error implementation of the congestion pricing proposed by economists is rigorously proved. Furthermore, the iterative procedure presented in this paper in practice can facilitate the estimation of such tolls by land transport authorities.


2010 ◽  
Vol 143-144 ◽  
pp. 419-423
Author(s):  
Min Wang ◽  
Liang Jie Xu

In this paper, from the medi-scope point of view, the intersection parameter is classified as the section parameter, and then the new intersection traffic state coefficient is defined. Based on the reachable matrix, a new method-hierarchical intersection analysis is used to divide the intersections into different crowded levels. Next, crossroad accessibility matrix is developed to distinguish the section connectivity and get the state results of the whole network. Last, we use this method to identify congestion state of the traffic on the road around Wuchang railway station, and the outcome shows the simulation result and the practical state are consistent.


2019 ◽  
Vol 296 ◽  
pp. 02002
Author(s):  
Mohamad Shatanawi ◽  
Souhir Boudhrioua ◽  
Ferenc Mészáros

Worldwide, multiple studies have been trying to reduce traffic issues without physically changing the road network, this is when the congestion fees strategy has been considered as a favorable solution for the urban traffic issues. A fundamental condition that needs to be checked before the implementation of the road-pricing scheme is the acceptability of both the political and the public parties. The acceptability is so variable and depends on many features and differs from one individual to another, thus, a survey with a set of variant questions might help to understand the expectations and the worries of the citizens and aim to improve them for better effectiveness of the road-pricing project. This report aims, through analyzing the responses of a distributed survey, to evaluate the acceptability of the citizens of Tunis, Tunisia and Damascus, Syria in order to draw a comparison between the two cities. Moreover, it assesses the degree of acceptability and the variable expectations of the implementation of the congestion fees of the two societies.


2020 ◽  
Vol 17 (4) ◽  
pp. 272-281
Author(s):  
V. N. Baskov ◽  
D. A. Krasnikova ◽  
E. I. Isaeva

Driving in a traffic flow implies involvement in difficult traffic situations that adversely affects response time of a driver, which in turn is considered when estimating stopping distance of a vehicle and determines road safety. This relationship shows the effect of driver behaviour in traffic flow on the road traffic situation. The objective of the study was to study behavioural factors that influence driver’s decisions. The study used methods of driver behaviour modelling, mathematical modelling, experimental studies of the mental and psychological functions of drivers. Modelling the driver’s behaviour, considering various combinations of many behavioural and other factors, leads to a large number of options for mathematical description of driver behaviour, which makes it difficult to use this approach to describe behaviour of drivers under the conditions of a real street-road network. The research has analysed several works devoted to the study of control action of drivers, using unknown coefficients, describing a model of movement of vehicles considering accuracy of their control. Driving through an unregulated intersection is considered as the most complex and informative version of driver’s behaviour. It is found that when modelling a traffic flow, it is necessary to take into account the degree of resoluteness of drivers (through determination of a coefficient of resoluteness which is a random variable that takes into account the probability distribution of the coefficient’s value in conjunction with the probability distribution of the function of traffic flow intensity). The distribution of the coefficient of resoluteness of drivers, obtained from experimental data, was subject to analysis. It is determined that the driving style affects formation of traffic congestion. The assessment of the driving style is made through conditional classification of driver behaviour on the road, namely marked by manifestation of aggression and timidity. When studying the behaviour of timid and aggressive drivers, several pairs of trajectories and the dynamics of the corresponding traffic flow density, were considered and calculated based on Edie’s model. It has been confirmed that traffic congestion has the greatest negative effect on choleric drivers and sanguine drivers. Besides, there is a relationship between the response time of a driver and the change in his functional condition. It is concluded that to improve road safety thanks to a more accurate assessment of possible risks of formation of congestion situations, it is necessary to consider behavioural characteristics and temperaments of the drivers.


AdBispreneur ◽  
2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Sutarjo

There are externalities as a result of street vendors economic activities. The externalities may be negatives and may be positives.The method used to collect data through literature and the data collected is secondary data from reports and research publication. Negative externalities caused by the street vendors are accessibility of public spaces, garbage, open space inharmony, dirty and untidy, traffic congestion, pedestrian interference and the possibility of diseases due to lack of sanitation. Tragedy of the commons happened due to excessive uses of public facilities resulting in reduced or loss of its function. The Positive externalities are generate jobs, as a distributor, security, bring the servicecloser to the customers and means of recreation. In the newinstitutional economic point of view, the government needs to intervene as a governing body to avoid the tragedy of the commons over excessive use of public resources in the form of an open area which supposed to be able to be utilised by the society.


2020 ◽  
Vol 15 (3) ◽  
pp. 446-450
Author(s):  
Lin Zarni Win ◽  
Kyaing ◽  
Ko Ko Lwin ◽  
Yoshihide Sekimoto ◽  
◽  
...  

This study aims to present the traffic conditions of one of the most congested areas in Yangon as well as the route choice behaviors of the road users in that area. It analyzes drivers’ route choice behaviors and traffic congestion according to road segments. Manual traffic counting and roadside interview methods were used in this survey. The data gathered were used in finding routes alternative to the U Htaung Bo road, which is extremely congested almost all the time. With regard to the report, it will be helpful to identify the scale of the problem that is caused by traffic congestion and to increase awareness of this issue, including amongst the government, policy makers, traffic engineers, and road users.


Author(s):  
Xavier Espinet ◽  
Julie Rozenberg

Climate change puts at risk all current and future transport projects. Investing proactively in climate adaptation of transport infrastructure is paramount to providing resilience and sustainable transport systems that may promote social and economic growth. Despite the importance of such investments, the financial resources of many road administrations are constrained, creating an urgent need to allocate these resources efficiently to capture the highest social, environmental, and economic benefits. This paper aims to tackle this issue by presenting a methodology to prioritize climate change adaptation interventions based on a set of economic, social, and risk reduction criteria. This method uses a network-wide approach to the road system in order to capture co-benefits, redundancies, and costs of disruption of road segments due to flood events. All underlying data in each of the criteria is part of a geospatial database that includes the location of agriculture, fishery production areas, high poverty, and flood maps. The methodology was developed at the request of the World Bank Africa Team to support the Government of Mozambique to prioritize climate change adaptation intervention in two central provinces, Zambezia and Nampula. After combining criteria for agriculture, fishery, poverty, network criticality, and hazard risk, the results suggest that most roads in the coastal districts of these provinces could be identified as top priority for climate change adaptation interventions.


Sign in / Sign up

Export Citation Format

Share Document