Santhanakrishnan Narayanan

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• Doctor of Engineering
• Research Associate at Technical University of Munich

The actions of autonomous vehicle manufacturers and related industrial partners, as well as the interest from policy makers and researchers, point towards the likely initial deployment of autonomous vehicles as shared autonomous mobility services. Numerous studies are lately being published regarding Shared Autonomous Vehicle (SAV) applications and...

Connected and autonomous vehicles are expected to gradually enter the transport modal mix sooner or later. Academic discussions of their expected impacts are well underway, often with conflicting or wide-ranging results. In this chapter, the existing literature is reviewed and summarized, with a focus on the traffic flow efficiency impacts. The exp...

To support the penetration of cargo cycles in commercial transport, this research aims at identifying the significant influencing factors for their purchase, using data from Europe’s largest cargo cycle testing project “Ich entlaste Städte”. This is achieved by developing binary logit models for the intention to purchase (stated at the end of a 3-m...

Electric cargo cycles (E-cargo cycles) have the potential to reduce the negative impacts of transportation systems, when utilised for the right application. There is a growing literature pertaining to them, especially for commercial transport. It is essential to have a comprehensive outlook of the prevailing literature to synthesise the existing kn...

Shared Autonomous Vehicles (SAVs) are expected to be used for regular and pre-planned trips. Such trips are suitable for reservation-based services, wherein the customer needs to book for a trip in advance. Systems enabling reservation of trips can allow for better planning of routes and schedules, and if optimally designed, enable higher efficienc...

The e-commerce sector’s rapid expansion has led to an increase in delivery activities both within and across cities, fuelling the growth of the courier, express, and parcel (CEP) services. CEP service providers are crucial for the distribution of goods across all types of cities, especially for last-mile delivery. However, CEP service providers nee...

This study explores the potential of Large Language Models (LLMs) to generate artificial surveys, with a focus on personal mobility preferences in Germany. By leveraging LLMs for synthetic data creation, we aim to address the limitations of traditional survey methods, such as high costs, inefficiency and scalability challenges. A novel approach inc...

Emerging modes (e.g., cargo bikes), mobility solutions (e.g., shared mobility services) and policy measures (e.g., the reduction of public parking spaces) are envisioned to reduce private car-ownership. However, the development of disaggregate car-ownership models dealing with them, which can be integrated with transport simulation systems, is stil...

As the complexities of urban environments continue to grow, the modelling of transportation systems become increasingly challenging. This paper explores the application of advanced Graph Neural Network (GNN) architectures as surrogate models for strategic transport planning. Building upon a prior work that laid the foundation with graph convolution...

Practical applications of graph neural networks (GNNs) in transportation are still a niche field. There exists a significant overlap between the potential of GNNs and the issues in strategic transport modelling. However, it is not clear whether GNN surrogates can overcome (some of) the prevalent issues. Investigation of such a surrogate will show t...

The implementation of bike-sharing systems (BSSs) is expected to lead to modifications in the travel habits of transport users, one of which is the choice of travel mode. Therefore, this research focuses on the identification of factors influencing the shift of private car users to BSSs based on stated preference survey data from the city of Alexan...

There is a growing popularity for shared mobility services. With their penetration in a city, a natural phenomenon is the mode shift from conventional modes. Therefore, there is a need for a model, which is capable of capturing this phenomenon. While most existing studies have developed mode choice models consisting of a single shared mobility serv...

As cities grow larger, they often struggle in finding sustainable and liveable mobility solutions to accommodate this growth. Many alternative modes of transport—such as public transport, carsharing systems, bikesharing systems—exist next to private car travel. The effects of expanding those alternatives are often challenging to model. This is in p...

When a car-sharing system is small, at its early stages, the modal split for the service is very low (e.g. <50 trips per day for the entire system). This results in a situation, where it is not possible to account for the demand for the service through traditional mode choice models. In addition, the business model of such a car-sharing service can...

Decisions on transport policy measures have long-term and important impacts on the economy, environment and society. Transport policy measures can lock up capital for decades and cause manifold external effects. In order to allow policymakers to evaluate transport policies, the developed decision support tool facilitates the evaluation of the multi...

There is a continued ownership of private cars, although the concern for the negative environmental impacts of private car use is growing. Emerging modes, such as cargo bikes, and mobility solutions, such as shared mobility services, are envisioned to reduce private car-ownership. However, to the best of authors' knowledge, a comprehensive analysis...

Different mobility solutions are emerging to cope up with the expansion of cities. This paper elucidates a methodology, to adapt a four-step transport model and extend it based on an intermediate modelling approach, focusing on the evaluation of dedicated bus lanes, an autonomous shuttle service and shared mobility services. The methodology is appl...

There is a growing popularity for shared mobility services. With their penetration in a city, a natural phenomenon is the mode shift from conventional modes. Therefore, there is a need for a model, which is capable of capturing this phenomenon. While most existing studies have developed mode choice models consisting of a single shared mobility serv...

The implementation of Bike-Sharing Systems (BSS) is expected to lead to modifications in the travel habits of transport users, one of which is the choice of travel mode. This change could depend on various factors, and hence, it is pertinent to identify them. Especially, given that cities aim to reduce private car use to achieve sustainable mobilit...

This paper investigates the optimization of Reservation-based Autonomous Car Sharing (RACS) systems, aiming at minimizing the total vehicle travel time and customer waiting time. Thus, the RACS system and its routing are formulated with a consideration for system efficiency and passengers' concerns. A meta-heuristic Tabu search method is investigat...

There is a growing interest among industry and policymakers for the application of cargo cycles in commercial transport. Although the potential of this type of vehicle has been shown in the pertinent literature, the factors affecting the purchase decision of cargo cycles by commercial users are yet to be explored. Hence, this research aims at ident...

Cargo cycles are gaining more interest among commercial users from different business sectors, and they compete with cars in urban commercial transport. Though many studies show the potential of cargo cycles, there is still a reluctance to deploy them. One possible reason for this is the lack of knowledge regarding their suitability in relation to...

Cargo cycles are gaining more interest among commercial users from different business sectors, and they compete with cars in urban commercial transport. Though many studies show the potential of cargo cycles, there is still a reluctance to deploy them. One possible reason for this is the lack of knowledge on their suitability in terms of travel tim...

In the modern world of science and technology, rapid growth has escalated the need for specific and appropriate techniques so that construction activities ensure comprehensive solutions to each and every problem faced by the construction industry. It is in this respect a study of suffusion has been taken up. A study of collapse of dams, erosion of...