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The freight vehicle access restriction policy in 2011 has had an impact on the performance of the Jakarta Intra Urban Toll way (JIUT) system. Though most of the truck operators are not in favour of this policy, truck restriction has become common strategy to reduce congestion in many cities in the world. The purpose of this study is to analyse the impact of the existence of trucks in the traffic stream on the JIUT system. The analysis will show the impact of access restriction on the toll road performance from a macroscopic point of view, which is represented by the speed - flow - density model. The model will be calibrated by the data of 24-hour observation in a certain segment of JIUT. The model when the trucks are prohibited to use in that condition will be compared to the one when the trucks are allowed to travel. The difference between both models will indicate the impact of the policy. The comparison between both conditions shows a 28.17% better speed performance based on free flow speed and 28.17% higher efficiency at maximum flow rate. This study will benefit the toll operator as well as local transport authority in making decisions on similar policy in order to gain a more optimal advantage of the implementation.

Freight vehicle access restriction policy in 2011 has had an impact on the performance of Jakarta Intra Urban Toll way (JIUT) system. The statutory segment (Cawang-Tomang) of this toll road system seems to have better performance, but not for the advisory segment (Cawang -Ancol). Basically, heavy vehicles (HV) shift their routes to the advisory segment to avoid the statutory segment at which they are prohibited to access from 05.00 a.m. to 10.00 p.m.. This study aims to investigate the impact of the HV composition on the traffic performance of the advisory segment of JIUT. Data were obtained from 48 hours of traffic recording at a part of Cawang-Ancol segment. It was found that the Underwood Model (exponential model) can represent the relationship between the three main parameters of traffic flow on the advisory segment, i.e. volume, speed, and density. Based on the developed traffic flow models which are classified on the HV composition, it is shown that the free flow speed (uf) for HV composition < 6% (i.e. 144.91 km/h) is higher 35.41% than the one of HV > 6% (i.e. 107.02 km/h). The actual road capacity (qm) in HV composition < 6% (i.e. 4442 pcu/hour) also higher 12.83% than the one of HV > 6% (i.e. 3937 pcu/hour). The results will benefit to the transport authority to justify the truck access restriction implementation.

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 customer