Determination of Urban Transport Policy in Indonesia

Institute of Transport and Logistics Studies. Faculty of Economics and Business. The University of Sydne

Optimization of Location Model of Capacitated Network

This study concerns with the research work on Location Model of Public Service Obligation State-Owned Company (PSO-SOC). Its aim is to develop an approach of making location decision on distribution facilities of such company, in which capacities of facilities are limited (capacitated facilities) and it deals with single commodity. Heuristic solution is proposed to modify established Add Algorithm, which is designed for uncapacitated facilities. The Network Representation is used to represent original problem of LocationModel. An example is provided to illustrate the proposed step-wise of solving the model

OPTIMIZATION OF LOCATION MODEL OF CAPACITATED NETWORK

This study concerns with the research work on Location Model of Public Service Obligation State-Owned Company (PSO-SOC). Its aim is to develop an approach of making location decision on distribution facilities of such company, in which capacities of facilities are limited (capacitated facilities) and it deals with single commodity. Heuristic solution is proposed to modify established Add Algorithm, which is designed for uncapacitated facilities. The Network Representation is used to represent original problem of LocationModel. An example is provided to illustrate the proposed step-wise of solving the model.Keywords: location model, Add Algorithm, Network Representation

OPTIMIZATION OF LOCATION MODEL OF CAPACITATED NETWORK

This study concerns with the research work on Location Model of Public Service Obligation State-Owned Company (PSO-SOC). Its aim is to develop an approach of making location decision on distribution facilities of such company, in which capacities of facilities are limited (capacitated facilities) and it deals with single commodity. Heuristic solution is proposed to modify established Add Algorithm, which is designed for uncapacitated facilities. The Network Representation is used to represent original problem of LocationModel. An example is provided to illustrate the proposed step-wise of solving the model.Keywords: location model, Add Algorithm, Network Representation

A resource sharing (sharing platform) scheme on online taxi services

This paper will review the match between single driver and single rider in online taxi services through a resource sharing (sharing platform) for the operators with the objectives to maximize the profit for drivers (operators) and minimize waiting time for passengers so that the matching rate is higher. A low matching rate between rider and driver can cause the consumer to drop the services. The matching between single driver and single rider in online taxi services through a sharing platform scheme is formulated in maximum weighted bipartite matching problem. To solve the proposed model, we use Kuhn Munkres Algorithm, while to solve the shortest path for the driver to pick up the passenger and the shortest path of passenger's origin destination, modified Dijkstra with adaptive algorithm based on Wei Peng et.al (2012) is used. Based on illustrative example with several cases, we found a resource sharing scenario can optimize the matching between driver and rider and moreover can solve the surge pricing problem which is deemed as less transparant to custome

MOTORIZATION IN INDONESIA AND ITS IMPACT TO TRAFFIC ACCIDENTS

This paper discusses motorization in Indonesia representing most of the traffic phenomena in many growing cities in Indonesia like Jakarta. This motorization has, however, created traffic safety problems due to poor traffic management and a failure of controlling motorization especially the growth of motorcycles. Fatalities in traffic accidents are significantly high and remain at a high rate. The imbalance of supply-demand in transport needs seems to be the main problem, that growth of motorization of 10% per year is only followed by less than 1% per year of road infrastructure growth. Unfortunately, human errors have been indicated as the main cause of many traffic accidents and so the fatalities. In such a situation, traffic safety improvement may have vast task to involve human behaviour and its characteristics, so it requires accurate data and information for analyses. Finally this paper also proposes some mechanism of acquiring useful traffic data and information through some traffic portraits that may cover analysis needs qualitatively and quantitatively

Public transportation development and traffic accident prevention in Indonesia

AbstractTraffic accidents have long been known as an iceberg for comprehending the discrepancies of traffic management and entire transportation systems. Figures detailing traffic accidents in Indonesia, as is the case in many other countries, show significantly high numbers and severity levels; these types of totals are also evident in Jakarta, the highest-populated city in the country. While the common consensus recognizes that traffic accidents are the results of three different factor types, namely, human factors, vehicle factors, and external factors (including road conditions), human factors have the strongest influence—and figures on a worldwide scale corroborate that assertion. We, however, try to pinpoint the issues of non-human factors in light of increasing traffic accidents in Indonesia, where motorbike accidents account for the majority of incidents. We then consider three important pillars of action: the development of public transportation, improvement of the road ratio, and traffic management measures

Traffic flow consideration in design of freight distribution system

This study is part of a series of research projects on a distribution system we developed to deal with cases in a state-owned company. It concerns the design of the Public Service Obligation State-owned Company (PSO-SOC) distribution system. The intrinsic features of PSO-SOC are distributing strategic commodities and having subsidies within the cost function. Hence their distribution flow has to be secured under consideration of moving the commodities within road networks that have traffic flow dependency. This paper focuses on the solution of the proposed model which represents traffic flow dependency within a freight distribution network. The mathematical formulation takes the form of a Minimum Cost Multicommodity Flow (MCMF) problem. Traffic flow dependency is incorporated into the model by introducing a coefficient of speed, which is derived from the traffic assignment of ordinary traffic associated with the transportation of the type of freight under consideration The solution of the proposed model is formulated by Network Representation (NR), in which all of the components of the mathematical model are represented in the form of dummy links and nodes added to the original (physical) network. It is to be noted then, that the traffic flow on each road or link is represented by a link performance function (LPF), depicting traffic flow dependent travel time and consequent cost. The MCMF problem of NR is further solved by a Primal–Dual Algorithm. Finally, an illustrative example is exercised to show how the proposed step-wise solution works

A resource sharing (sharing platform) scheme on online taxi services

This paper will review the match between single driver and single rider in online taxi services through a resource sharing (sharing platform) for the operators with the objectives to maximize the profit for drivers (operators) and minimize waiting time for passengers so that the matching rate is higher. A low matching rate between rider and driver can cause the consumer to drop the services. The matching between single driver and single rider in online taxi services through a sharing platform scheme is formulated in maximum weighted bipartite matching problem. To solve the proposed model, we use Kuhn Munkres Algorithm, while to solve the shortest path for the driver to pick up the passenger and the shortest path of passenger's origin destination, modified Dijkstra with adaptive algorithm based on Wei Peng et.al (2012) is used. Based on illustrative example with several cases, we found a resource sharing scenario can optimize the matching between driver and rider and moreover can solve the surge pricing problem which is deemed as less transparant to custome